# Cognite Docs

## Docs

- [Contextualize 360° images](https://docs.cognite.com/cdf/3d/guides/360images_contextualize.md): Manually contextualize 360° images by using a single 360° image file or leveraging the 360° image contextualization within a scene.
- [Upload 360° images](https://docs.cognite.com/cdf/3d/guides/360images_upload.md): You can upload 360° images to Cognite Data Fusion (CDF) and display them in various applications with the Reveal 3D viewer.
- [Upload 3D models with file extractor](https://docs.cognite.com/cdf/3d/guides/3d_file_extractor_guide.md): From **Upload 3D models** in Cognite Data Fusion (CDF), you can upload 3D models and revisions to CDF without writing any code.
- [Configure CDF 3D Visual in Power BI](https://docs.cognite.com/cdf/3d/guides/3dmodels_PowerBI.md): Display and interact with 3D CAD models from Cognite Data Fusion (CDF) directly in Power BI reports.
- [Contextualize CAD models](https://docs.cognite.com/cdf/3d/guides/3dmodels_contextualize.md): With the manual contextualization of CAD models, you can map assets to 3D objects, improving the assets discoverability when using search.
- [Edit 3D models and revisions](https://docs.cognite.com/cdf/3d/guides/3dmodels_edit.md): In CDF, you can delete 3D models, and publish, unpublish, and delete revisions.
- [Introduction to 3D models](https://docs.cognite.com/cdf/3d/guides/3dmodels_intro.md): Upload and optimize large 3D models in Cognite Data Fusion (CDF) to better visualize and contextualize data.
- [Upload 3D models and revisions](https://docs.cognite.com/cdf/3d/guides/3dmodels_upload.md): Upload 3D models and revisions to Cognite Data Fusion (CDF) using the web interface or programmatically through API and SDKs.
- [Upload point cloud](https://docs.cognite.com/cdf/3d/guides/3dmodels_upload_pointcloud.md): Upload large point clouds to CDF using Python SDK to avoid file transfer failures and long upload times.
- [Contextualize point cloud](https://docs.cognite.com/cdf/3d/guides/pointcloud_contextualize.md): Contextualize point clouds manually or using automated segmentation and object detection in CDF.
- [Set thresholds](https://docs.cognite.com/cdf/3d/guides/rule_based_coloring.md): Create rule-based color overlays in 3D models to visualize threshold conditions for assets and time series data.
- [Configure a scene](https://docs.cognite.com/cdf/3d/guides/scene.md): Create and configure 3D scenes to view all related 3D data for a physical location in a unified view.
- [About 3D models in CDF](https://docs.cognite.com/cdf/3d/index.md): Learn how to upload and contextualize 3D models and create scenes in Cognite Data Fusion.
- [CDF color table for Aveva RVM files](https://docs.cognite.com/cdf/3d/rvm-colors.md): Reference tables for standard and custom color indices used when importing RVM files to CDF.
- [Add a service account to a CDF group](https://docs.cognite.com/cdf/access/aws/guides/add_service_principal_cognito.md): Create a service account in Amazon Cognito and add it as a member to a Cognite Data Fusion (CDF) group.
- [Register core Cognite apps](https://docs.cognite.com/cdf/access/aws/guides/configure_cdf_cognito.md): Register the Cognite API and applications in Amazon Cognito for organizational sign-in.
- [Manage groups and group membership](https://docs.cognite.com/cdf/access/aws/guides/create_groups_oidc_cognito.md): Create groups in Cognite Data Fusion (CDF) and link them to Amazon Cognito groups to manage group membership.
- [Register a custom web app in Amazon Cognito](https://docs.cognite.com/cdf/access/aws/guides/register_custom_webapp_cognito.md): Register a custom web application in Amazon Cognito for user authentication.
- [Manage groups and group membership](https://docs.cognite.com/cdf/access/cdf/guides/create_groups_oidc_cdf.md): Create groups in Cognite Data Fusion (CDF) and manage group membership for user and service accounts.
- [Access token scopes](https://docs.cognite.com/cdf/access/concepts/access_token_scopes.md): Understand how OAuth 2.0 scopes expand or restrict access granted by the Cognite Data Fusion (CDF) groups.
- [Authentication flows](https://docs.cognite.com/cdf/access/concepts/authentication_flows_oidc.md): Understand OAuth 2.0 and OpenID Connect authentication flows for user and service applications in Cognite Data Fusion (CDF).
- [Design principles and best practices](https://docs.cognite.com/cdf/access/concepts/best_practices_oidc.md): Design principles and best practices for managing authentication and authorization in Cognite Data Fusion (CDF).
- [Access management concepts](https://docs.cognite.com/cdf/access/concepts/concepts.md): Main concepts in securely managing access to the Cognite applications and the data stored in your Cognite Data Fusion (CDF) projects.
- [Minimum IdP requirements](https://docs.cognite.com/cdf/access/concepts/minimum_idp_requirements.md): Identity provider requirements to access Cognite Data Fusion (CDF).
- [Add a service account to a CDF group](https://docs.cognite.com/cdf/access/entra/guides/add_service_principal.md): Create a client secret in Microsoft Entra ID and add the service principal to a Cognite Data Fusion (CDF) group.
- [Register and configure applications and components](https://docs.cognite.com/cdf/access/entra/guides/configure_apps_oidc.md): The table below lists applications and components with links to configuration steps and details about the authentication flows they use.
- [Register core Cognite apps](https://docs.cognite.com/cdf/access/entra/guides/configure_cdf_azure_oidc.md): Register the Cognite API and applications in Microsoft Entra ID for organizational sign-in.
- [Manage groups and group membership](https://docs.cognite.com/cdf/access/entra/guides/create_groups_oidc.md): Create groups in Cognite Data Fusion (CDF) and link them to Microsoft Entra ID groups to manage group membership.
- [Register a custom web app in Microsoft Entra ID](https://docs.cognite.com/cdf/access/entra/guides/register_custom_webapp.md): Register a custom web application in Microsoft Entra ID for user authentication.
- [Assign capabilities](https://docs.cognite.com/cdf/access/guides/capabilities.md): Control access to data and features in Cognite Data Fusion (CDF) by assigning capabilities to groups.
- [Configure outbound AWS PrivateLink](https://docs.cognite.com/cdf/access/guides/configure_outbound_private_link_aws.md): Set up outbound AWS PrivateLink for Cognite Data Fusion (CDF) to make private connections to your AWS resources.
- [Configure outbound Azure Private Link](https://docs.cognite.com/cdf/access/guides/configure_outbound_private_link_azure.md): Set up outbound Azure Private Link for Cognite Data Fusion (CDF) to make private connections to your Azure resources.
- [Configure AWS PrivateLink and CDF](https://docs.cognite.com/cdf/access/guides/configure_private_link_aws.md): Set up AWS PrivateLink to access Cognite Data Fusion (CDF) over a private connection.
- [Configure Azure Private Link and CDF](https://docs.cognite.com/cdf/access/guides/configure_private_link_azure.md): Set up Azure Private Link to access Cognite Data Fusion (CDF) over a private connection.
- [Private Link and Local Network Access browser permission](https://docs.cognite.com/cdf/access/guides/private_link_local_network_access_browser_permission.md): Manage browser permissions for Local Network Access when using Private Link with Cognite Data Fusion (CDF).
- [About identity and access management](https://docs.cognite.com/cdf/access/index.md): Manage access to Cognite Data Fusion (CDF)applications and data using your existing identity provider framework with OAuth 2.0 and OpenID Connect.
- [Troubleshooting](https://docs.cognite.com/cdf/access/troubleshooting/troubleshoot_oidc.md): Resolve common access management issues in Cognite Data Fusion (CDF).
- [Allowlist URLs](https://docs.cognite.com/cdf/admin/allowlist.md): To load user interfaces correctly, add these URLs to your firewall allowlist.
- [Clusters and regions](https://docs.cognite.com/cdf/admin/clusters_regions.md): Learn about available Cognite clusters and regions across different cloud providers.
- [Improving latency](https://docs.cognite.com/cdf/admin/connectivity.md): Bandwidth guidelines and recommendations to optimize performance across CDF applications and features.
- [About CDF administration](https://docs.cognite.com/cdf/admin/index.md): Learn how to manage access to CDF, configure apps and solutions, and stay updated on [new](/cdf/whatsnew) and [deprecated](/cdf/deprecated) features to prepare for future CDF releases.
- [Supported browsers and devices](https://docs.cognite.com/cdf/admin/supported_devices_browsers.md): Browser and device requirements for accessing Cognite Data Fusion and business applications.
- [About AI agent evaluations](https://docs.cognite.com/cdf/atlas_ai/concepts/atlas_ai_agent_evaluation_overview.md): Learn about AI agent evaluations and understand how to measure performance and verify behavior.
- [About Atlas AI agents](https://docs.cognite.com/cdf/atlas_ai/concepts/index.md): Learn how Atlas AI agents use language models, knowledge graphs, prompts, and tools to solve industrial business problems.
- [Build and publish agents](https://docs.cognite.com/cdf/atlas_ai/guides/atlas_ai_agent_building.md): Create custom Atlas AI agents using the low-code Agent builder to solve business problems and automate workflows.
- [Evaluate Atlas AI agents](https://docs.cognite.com/cdf/atlas_ai/guides/atlas_ai_agent_evaluating.md): Test Atlas AI agents to verify that they provide the results that you want and identify where they can improve performance.
- [About prompting Atlas AI agents](https://docs.cognite.com/cdf/atlas_ai/guides/atlas_ai_agent_prompting.md): Learn prompting best practices to get accurate and relevant responses from Atlas AI agents for your industrial data challenges.
- [Atlas AI](https://docs.cognite.com/cdf/atlas_ai/index.md): Create and manage industrial AI agents to solve specific business needs using generative AI, language models, and industrial data.
- [Language model library](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_agent_language_models.md): Detailed reference of available language models in Atlas AI, including stable, legacy, and retired models with release and retirement dates.
- [Limits and restrictions](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_agent_limits_restrictions.md): Current Atlas AI limits for total agents, published agents, and tools per agent in a CDF project.
- [Run Python code](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_agent_python_tool.md): Reference information for using the Run Python code tool in Atlas AI agents, including supported parameter types, code structure requirements, and best practices
- [Agent runtime versions](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_agent_runtime_versions.md): Reference of Atlas AI agent runtime versions including stable, preview, and retired versions with feature support and retirement dates.
- [Agent tools library](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_agent_tools.md): Complete reference of built-in Atlas AI agent tools including query tools, analysis tools, and integration tools for interacting with data and external systems.
- [Call Function](https://docs.cognite.com/cdf/atlas_ai/references/atlas_ai_call_function_tool.md): Configure the Call Function tool in the Atlas AI agent builder to call deployed Cognite functions from your agents.
- [Build solutions](https://docs.cognite.com/cdf/build/index.md): Learn how to build and deploy your Cognite Data Fusion (CDF) solutions.
- [Canvas labels](https://docs.cognite.com/cdf/configure/canvas_settings.md): Organize and categorize canvases by adding labels. Labels are keywords that describe the content on a canvas. Use them as a filter on the canvas overview.
- [Email setup for time series monitoring](https://docs.cognite.com/cdf/configure/charts_monitoring.md): Time series monitoring jobs in Charts send emails for any set threshold breach.
- [Configure apps and solutions](https://docs.cognite.com/cdf/configure/index.md): Configure apps and solutions to work seamlessly with data from Cognite Data Fusion (CDF).
- [Manage search categories](https://docs.cognite.com/cdf/configure/project_settings.md): Set up the default display of data when users search in the Industrial tools workspace.
- [Excel: Retrieve data from CDF](https://docs.cognite.com/cdf/dashboards/guides/excel/retrieve_data_from_cdf.md): Connect a Cognite Data Fusion project as a data source and use Excel to query, transform, and visualize CDF data.
- [Setup and administration for Grafana](https://docs.cognite.com/cdf/dashboards/guides/grafana/admin_oidc.md): Use the Cognite Data Source for Grafana to connect a CDF project as a data source in Grafana with OpenID Connect authentication.
- [Visualize events](https://docs.cognite.com/cdf/dashboards/guides/grafana/annotations.md): Set up and filter queries on CDF events and annotate the events to graphs on your Grafana dashboard.
- [Cognite Data Source for Grafana](https://docs.cognite.com/cdf/dashboards/guides/grafana/getting_started.md): Connect a Cognite Data Fusion (CDF) project as a data source and use Grafana to query, transform, and visualize your data.
- [Plot time series](https://docs.cognite.com/cdf/dashboards/guides/grafana/timeseries.md): Create dashboards and select the time series you want to plot using custom queries, filtering, aggregation, and advanced features.
- [Troubleshooting](https://docs.cognite.com/cdf/dashboards/guides/grafana/troubleshoot.md): Find information to help you troubleshoot issues using CDF as a data source in Grafana.
- [Create templates with global variables](https://docs.cognite.com/cdf/dashboards/guides/grafana/variables.md): Use variables to create templates in Grafana dashboards.
- [Microsoft Power Query for Power BI and Excel](https://docs.cognite.com/cdf/dashboards/guides/powerbi/admin.md): Register and grant consent for an organization to use Microsoft Power Query for Excel and Power BI Data Refresh applications to retrieve data from CDF.
- [Use CDF with Power BI and Excel](https://docs.cognite.com/cdf/dashboards/guides/powerbi/index.md): Connect a Cognite Data Fusion (CDF) project as a data source and use Microsoft Power BI and Excel to query, transform, and visualize your data.
- [Power BI OData connector](https://docs.cognite.com/cdf/dashboards/guides/powerbi/set_up_odata_connector.md): Connect a Cognite Data Fusion project as a data source in Power BI using the OData connector.
- [Power BI REST API connector](https://docs.cognite.com/cdf/dashboards/guides/powerbi/set_up_rest_connector.md): Use the Power BI REST API connector to fetch data with Cognite's OData services or other Cognite APIs using GET, POST, and GraphQL queries.
- [About dashboards](https://docs.cognite.com/cdf/dashboards/index.md): Use out-of-the-box and custom tools to explore, trend, and analyze industrial data stored in Cognite Data Fusion (CDF).
- [Best practices and troubleshooting](https://docs.cognite.com/cdf/dashboards/references/odata/best_practices.md): Get the most out of your OData client with these best practices and troubleshooting tips for optimal performance.
- [Asset-centric OData service](https://docs.cognite.com/cdf/dashboards/references/odata/classic_odata.md): Connect Cognite Data Fusion as a data source and use OData clients to query, transform, and visualize data stored in CDF asset-centric resources.
- [Custom OData queries](https://docs.cognite.com/cdf/dashboards/references/odata/custom_queries.md): Use custom queries in asset-centric and data-modeling OData services to filter properties and retrieve specific datasets.
- [Data modeling OData service](https://docs.cognite.com/cdf/dashboards/references/odata/dm_odata.md): Connect a Cognite Data Fusion data model as a data source and use OData clients to query, transform, and visualize data stored in CDF data models.
- [Cognite OData services](https://docs.cognite.com/cdf/dashboards/references/odata/index.md): Fetch data from Cognite Data Fusion using OData clients such as Microsoft Power BI, Microsoft Excel, and TIBCO Spotfire.
- [Get aggregated time series data](https://docs.cognite.com/cdf/dashboards/references/odata/timeseries_aggregates.md): Query Cognite Data Fusion for pre-calculated aggregates of numerical time series data points with short response times.
- [Power Query functions and example queries](https://docs.cognite.com/cdf/dashboards/references/rest/powerbi_rest_examples.md): Combine functions from the Cognite Data Fusion REST API connector for Power BI with Power Query to fetch and transform data.
- [Power BI REST API functions](https://docs.cognite.com/cdf/dashboards/references/rest/powerbi_rest_functions.md): Available Power BI REST API functions to use with the Cognite APIs for fetching and transforming data.
- [Power BI incremental refresh](https://docs.cognite.com/cdf/dashboards/references/rest/powerbi_rest_incremental_refresh.md): Configure incremental refresh with the Cognite Data Fusion REST API connector for Power BI to efficiently load large volumes of data.
- [About data engineering](https://docs.cognite.com/cdf/data_engineering/index.md): Model, integrate, transform, and consolidate data into structures that are suitable for building analytics solutions.
- [About data sets](https://docs.cognite.com/cdf/data_governance/concepts/datasets/index.md): Data sets let you document and track data lineage, ensure data integrity, and allow 3<sup>rd</sup> parties to write their insights to your Cognite Data Fusion (CDF) project securely.
- [Create data sets and add data](https://docs.cognite.com/cdf/data_governance/guides/datasets/create_data_sets.md): Learn how to create data sets in Cognite Data Fusion, configure access control, and add data objects to track data lineage and ensure data integrity.
- [Edit and explore data sets](https://docs.cognite.com/cdf/data_governance/guides/datasets/edit_explore_data_sets.md): Learn how to edit data set information, explore data lineage, and manage data sets in Cognite Data Fusion to ensure data quality and governance.
- [About data governance](https://docs.cognite.com/cdf/data_governance/index.md): Data governance is a set of principles and practices that ensure high quality through the complete lifecycle of your data and is a must for scalable digitalization in all industries.
- [Data governance overview](https://docs.cognite.com/cdf/data_governance/overview_dg.md): Learn about data governance principles, data sets, and how to ensure data quality and integrity throughout the complete lifecycle of your data in Cognite Data Fusion (CDF).
- [Machine learning operations (MLOps)](https://docs.cognite.com/cdf/data_science/guides/ds_mlops.md): Machine learning operations (MLOps) aims to deploy and maintain machine learning models reliably, efficiently, and at scale.
- [Data science tools](https://docs.cognite.com/cdf/data_science/guides/ds_tools.md): Explore the tools you need to develop data science applications for the data in Cognite Data Fusion (CDF), including both built-in tools and tools made by other companies.
- [About data science and machine learning](https://docs.cognite.com/cdf/data_science/index.md): Learn about tools, processes, strategies, and methodologies for developing and deploying data science and machine learning solutions with Cognite Data Fusion (CDF).
- [About Data workflows](https://docs.cognite.com/cdf/data_workflows/index.md): Orchestrate interdependent processes and tasks in Cognite Data Fusion (CDF) with built-in retry logic, error handling, and failure recovery.
- [Limits and restrictions](https://docs.cognite.com/cdf/data_workflows/limits_and_restrictions_workflows.md): Technical specifications and limits for data workflows service in CDF.
- [Data workflows overview](https://docs.cognite.com/cdf/data_workflows/overview.md): Explore guides and references for orchestrating interdependent processes and tasks in Cognite Data Fusion (CDF) with built-in automation, retry logic, and error handling.
- [Tasks in data workflows](https://docs.cognite.com/cdf/data_workflows/task_types.md): Define and configure tasks that trigger the execution of transformations, simulations, functions, API requests, and more.
- [Triggers for data workflows](https://docs.cognite.com/cdf/data_workflows/triggers.md): Automate workflow execution with schedule-based or data modeling event triggers.
- [Use data workflows](https://docs.cognite.com/cdf/data_workflows/workflow_user_guide.md): Create, run, and monitor data workflows using Cognite API or Cognite Python SDK. Use Data workflows in the CDF user interface to automate and manage workflow tasks and process runs.
- [Configure access management](https://docs.cognite.com/cdf/deploy/cdf_deploy/cdf_deploy_access_management.md): This article outlines the steps to set up a Microsoft Entra ID tenant and a Cognite Data Fusion project to allow users to sign in to Cognite apps with their organizational ID.
- [Establish deployment workflows](https://docs.cognite.com/cdf/deploy/cdf_deploy/cdf_deploy_devops_dataops.md): The main goal of establishing deployment workflows is to promote changes to production frequently, resulting in faster feedback and reduced risk.
- [Understand security, reliability, and service availability](https://docs.cognite.com/cdf/deploy/cdf_deploy/cdf_deploy_security_reliability.md): This article discusses the importance of security in protecting sensitive data and the reliability of Cognite Data Fusion with measures for high availability and disaster recovery.
- [Data sources and integration](https://docs.cognite.com/cdf/deploy/cdf_plan/cdf_plan_integration.md): What data you need to solve your business problems directly influences which data sources you choose to integrate with Cognite Data Fusion (CDF) first.
- [Identify business objectives](https://docs.cognite.com/cdf/deploy/cdf_plan/cdf_plan_objectives.md): Before you begin implementing Cognite Data Fusion (CDF), make sure that you have a good understanding of your organization's current IT architecture and how CDF will fit in.
- [Preparing for implementation](https://docs.cognite.com/cdf/deploy/cdf_plan/cdf_plan_prepare.md): We typically separate projects into sprints with a defined duration, with each sprint having a set of deliverables that the project team commits to finishing.
- [Roles in a CDF implementation](https://docs.cognite.com/cdf/deploy/cdf_plan/cdf_plan_set_up_team.md): Implementing CDF projects often requires the expertise and skills of many individuals across different roles and responsibilities.
- [Planning your CDF implementation](https://docs.cognite.com/cdf/deploy/cdf_plan/index.md): Proper planning is crucial to manage the lifecycle of the applications, data integrations, and other modules implemented with Cognite Data Fusion (CDF).
- [Alpha flags](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/alpha_flags.md): The Cognite Toolkit uses alpha flags to enable experimental functionality that is often planned for support in the next minor release.
- [cdf.toml](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/cdf_toml.md): Use the cdf.toml file to configure the Cognite Toolkit CLI with settings for the organization directory, environment, plugins, and modules.
- [config.[env].yaml](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/config_yaml.md): The config.[env].yaml file configures the modules for a specific environment, including project settings, selected modules, and variables.
- [Environment variables](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/environment_vars.md): The Cognite Toolkit supports injecting environment variables into the configuration files to inject secrets or other sensitive information.
- [Configuring the Cognite Toolkit](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/index.md): Configure the Cognite Toolkit with settings for projects, modules, and environments.
- [modules/](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/modules_dir.md): The modules directory contains the modules with the configuration that the Cognite Toolkit reads, including resource directories for different CDF resource types.
- [Toolkit versions](https://docs.cognite.com/cdf/deploy/cdf_toolkit/api/toolkit_update.md): This article lists the main changes between the Cognite Toolkit versions.
- [Authentication and authorization for Cognite Toolkit](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/auth.md): How you set up authentication and authorization for Cognite Toolkit depends on whether you'll use it in a CI/CD pipeline with full access or a local development environment with limited access.
- [Setting up Azure DevOps pipelines](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/cicd/ado_setup.md): Step-by-step guide to automate Cognite Toolkit deployments using Azure DevOps Pipelines with version control.
- [Setting up GitHub Actions](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/cicd/github_setup.md): Configure GitHub Actions to build and deploy Cognite Toolkit modules. You create a workflow with jobs, add environment variables and secrets, run a dry run, and verify deployments on the main branch.
- [Setting up GitLab CI/CD](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/cicd/gitlab_setup.md): Configure GitLab CI/CD to build and deploy Cognite Toolkit modules. You create stages and jobs, add secure variables for authentication, run a dry run, and verify deployments on the main branch.
- [Setting up CI/CD for the Cognite Toolkit](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/cicd/index.md): Automate configuration management workflows with Continuous Integration and Continuous Delivery/Deployment.
- [Customizing modules](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/modules/custom.md): This article describes the design of the example modules and provides guidelines to create custom modules or to adjust the existing ones.
- [Download data using the Data plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/data_plugin/download.md): Use the Data plugin to download data from Cognite Data Fusion to your local machine.
- [Using the Data plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/data_plugin/index.md): Use the Data plugin to download, upload, and delete data in Cognite Data Fusion (CDF).
- [Purge data using the Data plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/data_plugin/purge.md): Use the Data plugin to delete data from Cognite Data Fusion (CDF).
- [Upload data using the Data plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/data_plugin/upload.md): Use the Data plugin to upload data from your local machine to Cognite Data Fusion (CDF).
- [Using the Dump plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/dump_plugin.md): Use the Dump plugin to download the configuration of a Cognite Data Fusion resource that is not governed by the Cognite Toolkit.
- [Using Cognite Toolkit plugins](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/index.md): Plugins add extra functionality to interact with Cognite Data Fusion including run, pull, and dump capabilities.
- [Using the Pull plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/pull_plugin.md): Use the Pull plugin to develop a configuration in Cognite Data Fusion and pull the configuration down to your local machine.
- [Using the Run plugin](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/plugins/run_plugin.md): Use the Run plugin to run Cognite Functions locally and live, for example to debug or test Functions before deploying them to Cognite Data Fusion.
- [Setting up InField](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/set_up_infield.md): Follow the steps in this article to set up InField with the Cognite Toolkit.
- [Setting up](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/setup.md): Follow the steps in this article to install the Cognite Toolkit and the basic file structure on your computer and prepare the configuration for integration with version control repository.
- [Upgrading the Cognite Toolkit CLI and modules](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/upgrade.md): Follow these steps to upgrade the Cognite Toolkit CLI and modules to the latest version.
- [Configure, build, and deploy modules](https://docs.cognite.com/cdf/deploy/cdf_toolkit/guides/usage.md): With the Cognite Toolkit, you configure access to the CDF project(s), define and configure modules, build artifacts, and deploy them to your CDF project.
- [Working with the Cognite Toolkit](https://docs.cognite.com/cdf/deploy/cdf_toolkit/index.md): Use the Cognite Toolkit to configure, deploy, and manage your Cognite Data Fusion projects.
- [Bootcamp](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/bootcamp.md): This set of modules are used in Cognite's bootcamp training material.
- [Contextualization](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/contextualization.md): These modules are examples of contextualization pipelines that can be used to connect data from different data sources.
- [Data models](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/data_models.md): These modules are examples of extensions of Cognite data models including CDM and IDM extensions.
- [FieldOps](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/fieldops.md): These modules help you set up InField with minimal configuration examples.
- [Working with Cognite Toolkit modules](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/index.md): Use pre-built modules to configure common CDF use cases and workflows.
- [Industrial tools](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/industrial_tools.md): These modules are examples of how to configure the built-in applications in Cognite Data Fusion including location filters and search configurations.
- [Running the quickstart demo](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/quickstart.md): Run the quickstart package in the CDF Notebook environment to configure data pipelines and industrial tools.
- [Source systems](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/packages/source_systems.md): This set of modules are data pipelines that extract data from source systems like OSIsoft/AVEVA PI, SAP, and SharePoint into CDF.
- [YAML reference library](https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/resource_library.md): The YAML resource configuration files are core to the Cognite Toolkit, with each file configuring one of the resource types supported by the Cognite Toolkit and the Cognite API.
- [Planning and deploying Cognite Data Fusion](https://docs.cognite.com/cdf/deploy/index.md): Learn best practices for planning and deploying Cognite Data Fusion in your organization.
- [Deprecated and retired features](https://docs.cognite.com/cdf/deprecated.md): Announcements and deprecations for Cognite Data Fusion features to help admins and IT professionals prepare for future releases.
- [Access control features](https://docs.cognite.com/cdf/dm/dm_concepts/dm_access_control.md): Learn how to control access to graphs using spaces and access control lists (ACLs) in the Data Modeling Service.
- [Aggregation features](https://docs.cognite.com/cdf/dm/dm_concepts/dm_aggregate.md): Learn how to summarize and analyze data using aggregation functions, grouping, and filters in the Data Modeling Service.
- [Containers, views, polymorphism, data models](https://docs.cognite.com/cdf/dm/dm_concepts/dm_containers_views_datamodels.md): Learn how to define schemas using containers, views, and data models to bring your own properties into the knowledge graph.
- [Ingestion features](https://docs.cognite.com/cdf/dm/dm_concepts/dm_ingestion.md): Learn how to ingest and remove instances in your graph using apply, patch, replace, and delete operations.
- [Schema and instance inspection](https://docs.cognite.com/cdf/dm/dm_concepts/dm_inspect.md): Learn how to inspect schemas and instances to understand their structure and relationships in your data model.
- [Property graph](https://docs.cognite.com/cdf/dm/dm_concepts/dm_property_graph.md): Understand how property graphs in CDF use nodes, edges, and properties to model complex industrial systems.
- [Query features](https://docs.cognite.com/cdf/dm/dm_concepts/dm_querying.md): Learn how to query your industrial knowledge graph using filters, parameters, recursive edge traversal, and subscriptions to changes.
- [Search features](https://docs.cognite.com/cdf/dm/dm_concepts/dm_search.md): Learn how to search for text and property values in your knowledge graph using full-text queries, filters, and relevance ranking.
- [Spaces, instances, direct relations](https://docs.cognite.com/cdf/dm/dm_concepts/dm_spaces_instances.md): Learn how to construct an industrial knowledge graph using spaces, instances, nodes, edges, and direct relations in CDF.
- [System schemas](https://docs.cognite.com/cdf/dm/dm_concepts/dm_system_schemas.md): Learn about globally available system schemas prefixed with cdf_ that provide out-of-the-box containers, views, and data models.
- [Data modeling concepts](https://docs.cognite.com/cdf/dm/dm_concepts/index.md): Learn about the core concepts and features of the Data Modeling Service (DMS) including spaces, instances, containers, views, and property graphs.
- [Data modeling language extension for GraphQL](https://docs.cognite.com/cdf/dm/dm_graphql/dm_data_modeling_language.md): Learn about the Data modeling language extension for GraphQL (DML) for managing data models and views.
- [GraphQL mutations](https://docs.cognite.com/cdf/dm/dm_graphql/dm_graphql_mutations.md): Learn how to create and update instances using GraphQL mutations including upsert and delete operations.
- [GraphQL queries](https://docs.cognite.com/cdf/dm/dm_graphql/dm_graphql_querying.md): Learn how to query instances using GraphQL including list, get, search, and aggregate operations.
- [Autogenerated GraphQL types](https://docs.cognite.com/cdf/dm/dm_graphql/dm_graphql_types.md): Learn how CDF automatically generates GraphQL types for data models and how to use them for queries and mutations.
- [Using GraphQL with data modeling](https://docs.cognite.com/cdf/dm/dm_graphql/index.md): Learn how to use GraphQL to query, mutate, and define data models in Cognite Data Fusion.
- [Optimizing data models for AI](https://docs.cognite.com/cdf/dm/dm_guides/dm_best_practices_ai_search.md): Learn how to model data to support natural language queries and enable Atlas AI agents to be reused across domains and workflows.
- [Building an asset hierarchy](https://docs.cognite.com/cdf/dm/dm_guides/dm_cdm_build_asset_hierarchy.md): Learn how to build an asset hierarchy with the Cognite core data model and populate it using transformations.
- [Delete nodes without associated container data](https://docs.cognite.com/cdf/dm/dm_guides/dm_clean_up_nodes_without_data.md): Use a Python script to delete nodes without associated container data in your data model.
- [Debugging query performance](https://docs.cognite.com/cdf/dm/dm_guides/dm_debug_query_performance.md): Learn how to use debug notices to understand query execution and identify optimization opportunities for your data model queries.
- [Extending the core data model via GraphQL](https://docs.cognite.com/cdf/dm/dm_guides/dm_extending_core_data_model.md): Learn how to create custom data models that extend the Cognite core data model using the Data modeling language extension for GraphQL.
- [Files in data modeling](https://docs.cognite.com/cdf/dm/dm_guides/dm_integrate_files.md): Learn how to use files with the core data model and integrate them with assets in Cognite Data Fusion.
- [Time series in data modeling](https://docs.cognite.com/cdf/dm/dm_guides/dm_integrate_with_time_series.md): Learn how to integrate time series with data modeling using CogniteTimeSeries and the Time Series API.
- [Manage data models in CI/CD](https://docs.cognite.com/cdf/dm/dm_guides/dm_manage_in_cicd.md): Learn how to use the CDF Toolkit to reliably deploy data modules to CDF projects as part of your development workflow and release pipeline.
- [Performance considerations](https://docs.cognite.com/cdf/dm/dm_guides/dm_performance_considerations.md): Learn about key data modeling factors that impact performance when ingesting and querying data.
- [Data modeling examples and best practices](https://docs.cognite.com/cdf/dm/dm_guides/index.md): Explore examples and best practices for working with data modeling in Cognite Data Fusion, from building hierarchies to optimizing performance.
- [Cognite data models](https://docs.cognite.com/cdf/dm/dm_reference/cognite_data_models.md): Learn about Cognite's out-of-the-box data models, including the core data model and process industry data model.
- [Core data model](https://docs.cognite.com/cdf/dm/dm_reference/dm_core_data_model.md): Explore Cognite's core data model with standardized building blocks for industrial data, including core features and core concepts.
- [Limits and restrictions](https://docs.cognite.com/cdf/dm/dm_reference/dm_limits_and_restrictions.md): Learn about the limits and restrictions for data modeling resources in your CDF project.
- [Process industries data model](https://docs.cognite.com/cdf/dm/dm_reference/dm_process_industry_data_model.md): Explore Cognite's process industries data model that extends the core data model for process industry requirements.
- [About data modeling](https://docs.cognite.com/cdf/dm/index.md): Build expressive and scalable data models in Cognite Data Fusion (CDF) to create a structured knowledge graph of your industrial data.
- [About records and streams](https://docs.cognite.com/cdf/dm/records/concepts/records_and_streams.md): Understand records and streams for high-performance storage of bulk structured data in the industrial knowledge graph, including when to use them, core concepts, and capabilities.
- [Get started with Records](https://docs.cognite.com/cdf/dm/records/guides/records_getting_started.md): Learn Records core concepts and patterns through a hands-on tutorial. Follow along with a SCADA alarm management example that demonstrates schemas, streams, ingestion, querying, and stream-to-stream pipelines.
- [Agents](https://docs.cognite.com/cdf/explore/agents.md): Work with Atlas AI agents trained on your data and customized for your organization's specific use cases.
- [Canvas](https://docs.cognite.com/cdf/explore/canvas.md): Create and use canvas to analyze and investigate industrial data visually.
- [Charts](https://docs.cognite.com/cdf/explore/charts.md): Analyze time series data, create calculations, set thresholds, monitor alerts, assess data quality, and visualize activities.
- [Apps](https://docs.cognite.com/cdf/explore/custom_apps.md): Access custom applications built for your organization's specific workflows.
- [Browse 3D](https://docs.cognite.com/cdf/explore/navigate_3d.md): Explore physical assets in 3D environments and search for equipment within location models.
- [Search](https://docs.cognite.com/cdf/explore/search.md): Search and discover industrial data, assets, and engineering diagrams across your organization.
- [Setup and administration](https://docs.cognite.com/cdf/functions/admin.md): Learn how to set up and activate Cognite Functions, configure permissions, and prepare your environment to deploy Python code in CDF.
- [About Cognite Functions](https://docs.cognite.com/cdf/functions/index.md): Cognite Functions lets you deploy Python code to Cognite Data Fusion (CDF), call the code on-demand, or schedule the code to run at regular intervals.
- [Troubleshooting](https://docs.cognite.com/cdf/functions/known_issues.md): Resolve common issues with Cognite Functions, including folder structure errors, failed calls, logging problems, and deployment issues.
- [Securing Cognite Functions](https://docs.cognite.com/cdf/functions/security.md): Follow best practices for handling secrets, securing dependencies, and deploying Cognite Functions with CI/CD to ensure the security and integrity of your data.
- [Cloud provider limitations](https://docs.cognite.com/cdf/functions/technical.md): Technical specifications and limits for Cognite Functions across Google, Azure, and AWS cloud providers, including CPU, RAM, timeouts, and data retention.
- [Use Functions](https://docs.cognite.com/cdf/functions/use_functions.md): Deploy Python code to CDF, call functions on-demand, and schedule them to run at regular intervals. Learn to authenticate, create, and manage functions.
- [About Cognite Data Fusion (CDF)](https://docs.cognite.com/cdf/index.md): Cognite Data Fusion (CDF) is an industrial DataOps platform that streams your industrial data into a structured, flexible, and contextualized knowledge graph.
- [Industrial Data Science Library](https://docs.cognite.com/cdf/indsl.md)
- [About Industrial tools](https://docs.cognite.com/cdf/industrial_tools/index.md): Use the Industrial tools workspace to find and analyze data.
- [Industrial tools workspace](https://docs.cognite.com/cdf/industrial_tools/industrial_workspace.md): Navigate the Industrial tools workspace using the sidebar to switch between tools and projects, access help resources, and manage your profile settings.
- [Configure data models for InField](https://docs.cognite.com/cdf/infield/guides/config_idm.md): Plan and configure the source data and the Cognite Data Fusion project that will power InField with data modeling.
- [Create templates and checklists](https://docs.cognite.com/cdf/infield/guides/create_templates.md): Create templates, add tasks and schedules, and generate checklists for field workers to perform at regular intervals.
- [Create and view observations](https://docs.cognite.com/cdf/infield/guides/observations.md): Record equipment issues discovered during work, track their status, and send reports.
- [Perform activities](https://docs.cognite.com/cdf/infield/guides/perform.md): Work with checklists to complete tasks, add measurement readings, record observations, and work offline on your mobile device.
- [Plan, schedule, and assign activities](https://docs.cognite.com/cdf/infield/guides/plan.md): View work orders and checklists, assign activities to disciplines or users, create checklists from work orders, and track task progress.
- [Troubleshooting](https://docs.cognite.com/cdf/infield/guides/troubleshoot.md): Find information to help you troubleshoot common issues.
- [About Cognite InField](https://docs.cognite.com/cdf/infield/index.md): Help field workers and supervisors efficiently plan and perform their tasks replacing paper-based data-gathering
- [About data integrations](https://docs.cognite.com/cdf/integration/concepts/about_data_pipelines.md): Learn about the three main components of data pipelines in CDF: data integration, data transformation, and data contextualization.
- [About data integration with connectors](https://docs.cognite.com/cdf/integration/concepts/connections/about_data_integration_with_ connectors.md): Learn how connectors enable bidirectional data integration between source systems and Cognite Data Fusion (CDF) with prebuilt Cognite connectors or custom solutions.
- [Cognite connectors overview](https://docs.cognite.com/cdf/integration/concepts/connections/get_started.md): Explore prebuilt and custom connector solutions to integrate data between source systems and Cognite Data Fusion (CDF) with bidirectional synchronization capabilities.
- [About contextualization](https://docs.cognite.com/cdf/integration/concepts/contextualization/index.md): The interactive contextualization tools in Cognite Data Fusion (CDF) let you combine machine learning, a powerful rules engine, and domain expertise to map resources from different source systems to each other in the CDF data model.
- [Contextualization overview](https://docs.cognite.com/cdf/integration/concepts/contextualization/overview.md): Connect and enrich your industrial data by matching entities, extracting information from documents and diagrams, and building relationships between assets, files, and time series in Cognite Data Fusion (CDF).
- [Cognite extractors overview](https://docs.cognite.com/cdf/integration/concepts/extraction/get_started.md): Explore prebuilt extractors to stream and batch extract data from industrial and enterprise systems into Cognite Data Fusion (CDF).
- [About data extraction](https://docs.cognite.com/cdf/integration/concepts/extraction/index.md): Understand how extractors connect to source systems and push data in its **original format** to Cognite Data Fusion using prebuilt extractors or custom solutions with Python and .NET utilities.
- [About transformations](https://docs.cognite.com/cdf/integration/concepts/transformation/index.md): Learn about data transformation in Cognite Data Fusion (CDF) and how to use built-in transformation tools to reshape, enrich, contextualize, and analyze data quality in your data integration workflow.
- [Transformation overview](https://docs.cognite.com/cdf/integration/concepts/transformation/overview.md): Transform, reshape, enrich, and analyze data quality using built-in transformation tools to move data from source systems into Cognite Data Fusion (CDF) data models.
- [Diagram parsing for data modeling](https://docs.cognite.com/cdf/integration/guides/contextualization/diagram_parsing.md): Extract information from static engineering diagrams to create interactive diagrams that you can explore in Cognite Data Fusion (CDF).
- [Document parsing](https://docs.cognite.com/cdf/integration/guides/contextualization/document_parser.md): Extract data from documents with key-value data representation into data model views in Cognite Data Fusion (CDF).
- [Create interactive diagrams](https://docs.cognite.com/cdf/integration/guides/contextualization/interactive_diagrams.md): Extract information from static engineering diagrams to create interactive diagrams that you can explore on any device.
- [Manage symbol libraries](https://docs.cognite.com/cdf/integration/guides/contextualization/manage_libraries.md): Create and modify symbol libraries to add new symbols or geometries for diagram parsing in Cognite Data Fusion (CDF).
- [Match entities](https://docs.cognite.com/cdf/integration/guides/contextualization/match_entities.md): Match Cognite Data Fusion resources to assets using pipelines, quick match, or 3D model matching.
- [About entity matching](https://docs.cognite.com/cdf/integration/guides/contextualization/matching.md): Learn how entity matching uses machine learning and rules to match entities from different data sources in Cognite Data Fusion.
- [Parse diagrams](https://docs.cognite.com/cdf/integration/guides/contextualization/parse_diagrams.md): Extract information from engineering diagrams by detecting and mapping assets and files in Cognite Data Fusion (CDF).
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/contextualization/troubleshooting.md): Resolve issues and errors related to interactive diagram parsing in Cognite Data Fusion.
- [Data catalog](https://docs.cognite.com/cdf/integration/guides/exploration/data_catalog_concepts.md): Search, explore, and manage data sets in a central and secure library of data assets.
- [Data explorer](https://docs.cognite.com/cdf/integration/guides/exploration/data_explorer.md): Browse and search through resource types to find the data you need, with drill-down into details and connected resources.
- [Image and video data](https://docs.cognite.com/cdf/integration/guides/exploration/images_videos.md): Upload and manage images and videos containing essential metadata and visual information for optimizing operations.
- [Explore image and video data](https://docs.cognite.com/cdf/integration/guides/exploration/images_videos_tasks.md): Upload, enrich, and explore image and video data to gather insights for decision making and task optimization.
- [Setup and administration for Microsoft Entra ID](https://docs.cognite.com/cdf/integration/guides/extraction/admin_oidc.md): Register and configure apps in Microsoft Entra ID for use with data integration services such as extractors and connectors.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/db.md): Complete reference for configuring the Cognite DB extractor, including authentication, queries, and destination settings.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/fabric-connector.md): Complete configuration reference for the Cognite Fabric connector including authentication, logging, state stores, and data replication settings.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/file-extractor.md): Configuration reference for the Cognite File extractor with all available parameters and options.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/opcua.md): Complete reference guide for configuring the OPC UA extractor, including all YAML configuration parameters, authentication options, data extraction settings, and advanced features.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/pi.md): Complete reference for configuring the Cognite PI extractor with YAML settings for authentication, data extraction, backfill, and frontfill operations.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/piaf.md): Complete reference for configuring the PI AF extractor including connection settings, extraction options, and destination configuration.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/configuration/sap.md): Configure the SAP extractor with YAML files to connect to SAP instances and extract data to CDF.
- [Cognite DB extractor](https://docs.cognite.com/cdf/integration/guides/extraction/db.md): Connect to databases and load data into Cognite Data Fusion (CDF) with the general-purpose DB extractor.
- [Metrics](https://docs.cognite.com/cdf/integration/guides/extraction/db/db_metrics.md): Performance metrics available from the DB extractor for remote monitoring and debugging.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/db/db_server_requirements.md): Hardware, software, and network requirements for running the Cognite DB extractor.
- [Set up the DB extractor](https://docs.cognite.com/cdf/integration/guides/extraction/db/db_setup.md): Install and configure the Cognite DB extractor to connect to databases and load data into Cognite Data Fusion (CDF).
- [Ingest data from Snowflake with OAuth](https://docs.cognite.com/cdf/integration/guides/extraction/db/db_snowflake_oauth_setup.md): Configure the DB extractor to ingest data from Snowflake using OAuth 2.0 authentication with Microsoft Entra ID.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/extraction/db/db_troubleshooting.md): Common issues and solutions for the Cognite DB extractor.
- [About the Cognite EDM extractor](https://docs.cognite.com/cdf/integration/guides/extraction/edm.md): Extract data from Landmark Engineers Data Model (EDM) server to the Cognite Data Fusion (CDF) staging area through OData protocol from DecisionSpace Integration Server (DSIS).
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/edm/edm_configuration.md): Configure the EDM extractor with YAML file settings for Cognite, logging, EDM connection, and entity extraction parameters.
- [EDM data entities](https://docs.cognite.com/cdf/integration/guides/extraction/edm/edm_entities.md): Comprehensive reference of supported EDM entities for the Cognite EDM extractor, including incremental and non-incremental entity types with their extraction specifications.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/edm/edm_server_requirements.md): Hardware, software, and network requirements for running the Cognite EDM extractor on physical servers, virtual machines, or cloud environments.
- [Set up the EDM extractor](https://docs.cognite.com/cdf/integration/guides/extraction/edm/edm_setup.md): Install and configure the Cognite EDM extractor as a Java .jar file or Docker container to extract data from Landmark EDM to CDF.
- [Event Hub extractor](https://docs.cognite.com/cdf/integration/guides/extraction/eventhub.md): Learn how to use the Cognite Event Hub extractor to connect to Azure Event Hub and extract data using the AMQP protocol.Cognite hosts the Event Hub extractor, so you don't have to download or install anything.
- [About the Cognite Fabric connector](https://docs.cognite.com/cdf/integration/guides/extraction/fabric.md): Learn how the Cognite Fabric connector uses Cognite APIs to mirror data bidirectionally between Cognite Data Fusion (CDF) and Microsoft Fabric.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/fabric/fabric_server_requirements.md): Hardware, software, network, and Cognite Data Fusion (CDF) access requirements for installing the Cognite Fabric connector.
- [Set up the Fabric connector](https://docs.cognite.com/cdf/integration/guides/extraction/fabric/fabric_setup.md): Learn how to set up and run the Cognite Fabric connector as a Windows executable, Windows service, or Docker container.
- [About the Cognite File extractor](https://docs.cognite.com/cdf/integration/guides/extraction/file.md): Connect the Cognite File extractor to local file systems, cloud storage, and network sharing protocols to upload files into Cognite Data Fusion (CDF).
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/file/file_requirements.md): Hardware, software, and network requirements for running the Cognite File extractor.
- [Set up the Cognite File extractor](https://docs.cognite.com/cdf/integration/guides/extraction/file/file_setup.md): Install and configure the Cognite File extractor on Windows and Linux systems.
- [Connect to SharePoint Online](https://docs.cognite.com/cdf/integration/guides/extraction/file/file_sharepoint_setup.md): Configure the Cognite File extractor to connect to SharePoint Online sources.
- [Hosted extractors overview](https://docs.cognite.com/cdf/integration/guides/extraction/hosted_extractors.md): Learn about hosted extractors that run inside Cognite Data Fusion (CDF) for live low latency data streams, including sources, jobs, destinations, and mappings.
- [Functions](https://docs.cognite.com/cdf/integration/guides/extraction/hosted_extractors/built_in_functions.md): Complete reference of all built-in functions available in the hosted extractor mapping language for data transformation and manipulation.
- [Custom message formats](https://docs.cognite.com/cdf/integration/guides/extraction/hosted_extractors/hosted_extractors_custom_mappings.md): Learn how to define custom message formats as mappings from source data to Cognite Data Fusion (CDF) data types, with examples for data points, events, and nested structures.
- [Message formats](https://docs.cognite.com/cdf/integration/guides/extraction/hosted_extractors/hosted_extractors_mappings.md): Learn about the different message payload formats supported by the Cognite MQTT extractor, including simple text values and custom formats.
- [Mapping concepts](https://docs.cognite.com/cdf/integration/guides/extraction/hosted_extractors/kuiper_concepts.md): Learn about the hosted extractor mapping language for transforming JSON structures with functional expressions similar to JavaScript.
- [Kafka extractor](https://docs.cognite.com/cdf/integration/guides/extraction/kafka.md): Learn how to use the Cognite Kafka extractor to extract data from Apache Kafka brokers and topics. Cognite hosts the Kafka extractor, so you don't have to download or install anything.
- [MQTT extractor](https://docs.cognite.com/cdf/integration/guides/extraction/mqtt.md): Learn how to use the Cognite MQTT extractor to extract data over the MQTT protocol from brokers and topics. Cognite hosts the MQTT extractor, so you don't have to download or install anything.
- [MQTT broker](https://docs.cognite.com/cdf/integration/guides/extraction/mqtt_broker.md): Learn how to use the Cognite MQTT broker to publish data directly to Cognite Data Fusion (CDF) using the MQTT protocol.
- [About the Cognite OPC Classic extractor](https://docs.cognite.com/cdf/integration/guides/extraction/opc_classic.md): Read time series and asset information via OPC DA and HDA protocols and stream datapoints to Cognite Data Fusion (CDF).
- [Command-line arguments](https://docs.cognite.com/cdf/integration/guides/extraction/opc_classic/opc_classic_cli.md): Available command-line arguments for the OPC Classic extractor.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/opc_classic/opc_classic_configuration.md): Configure the OPC Classic extractor using YAML format with settings for source, subscriptions, and CDF connection.
- [Hardware and server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/opc_classic/opc_classic_requirements.md): Hardware and server requirements for the OPC Classic extractor.
- [Set up the OPC Classic extractor](https://docs.cognite.com/cdf/integration/guides/extraction/opc_classic/opc_classic_setup.md): Install and configure the OPC Classic extractor on Windows with support for DCOM connections.
- [About the Cognite OPC UA extractor](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua.md): Learn about the Cognite OPC UA extractor that reads time series, events, and asset information via the OPC UA protocol and streams data and events to time series in Cognite Data Fusion (CDF).
- [Command-line arguments](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_cli.md): Reference guide for all available command-line arguments when running the OPC UA extractor, including options for configuration, authentication, and tool mode.
- [Hardware requirements](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_hw_requirements.md): Memory, CPU, and storage requirements for running the OPC UA extractor based on server size and configuration.
- [Metrics](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_metrics.md): Complete reference of available Prometheus metrics from the OPC UA extractor, including source system metrics, extractor metrics, CDF metrics, InfluxDB metrics, MQTT metrics, history metrics, and native Prometheus metrics.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_server_requirements.md): Server requirements for running the OPC UA extractor with different features, including session management, variables, history, arrays, events, and auditing.
- [Set up the OPC UA extractor](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_setup.md): Instructions for installing and configuring the Cognite OPC UA extractor as a Windows executable, Windows service, Linux service, or Docker container.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/extraction/opc_ua/opc_ua_troubleshooting.md): Solutions and instructions for troubleshooting common problems when setting up the OPC UA extractor to push data to Cognite Data Fusion (CDF).
- [About the Cognite OSDU extractor](https://docs.cognite.com/cdf/integration/guides/extraction/osdu.md): Connect to the OSDU Data Platform and ingest data into Cognite Data Fusion (CDF).
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/osdu/osdu_configuration.md): Configuration settings and parameters for the OSDU extractor YAML file.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/osdu/osdu_requirements.md): Hardware and software requirements for running the OSDU extractor.
- [Set up the OSDU extractor](https://docs.cognite.com/cdf/integration/guides/extraction/osdu/osdu_setup.md): Install and configure the OSDU extractor as a Windows executable, Windows service, or Docker container.
- [About Cognite Studio for Petrel extractor](https://docs.cognite.com/cdf/integration/guides/extraction/petrel_studio.md): Learn about the Cognite Studio for Petrel extractor that streams Petrel object data to Cognite Data Fusion (CDF) as protobuf objects.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/petrel_studio/petrel_studio_configuration.md): Configuration file settings for the Studio for Petrel extractor including authentication, caching, logging, and extraction parameters.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/petrel_studio/petrel_studio_requirements.md): Hardware, software, and network requirements for installing the Studio for Petrel extractor.
- [Set up the Studio for Petrel extractor](https://docs.cognite.com/cdf/integration/guides/extraction/petrel_studio/petrel_studio_setup.md): Install and configure the Cognite Studio for Petrel extractor as a Windows service.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/extraction/petrel_studio/petrel_studio_troubleshooting.md): Resolve errors and unexpected behavior with the Cognite Studio for Petrel extractor.
- [About the Cognite PI extractor](https://docs.cognite.com/cdf/integration/guides/extraction/pi.md): Connect to OSISoft PI Data Archive and stream time series data to Cognite Data Fusion (CDF) in real-time with historical backfill support
- [Extractor metrics](https://docs.cognite.com/cdf/integration/guides/extraction/pi/pi_metrics.md): Monitor and debug the Cognite PI extractor using Prometheus metrics for performance, connection status, and data processing.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/pi/pi_server_requirements.md): Hardware, software, and network requirements for installing the Cognite PI extractor.
- [Set up the PI extractor](https://docs.cognite.com/cdf/integration/guides/extraction/pi/pi_setup.md): Install and configure the Cognite PI extractor on Windows to stream time series data from OSISoft PI to Cognite Data Fusion (CDF).
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/extraction/pi/pi_troubleshooting.md): Troubleshoot common issues with the Cognite PI extractor including authentication errors, connection problems, and data loss incidents.
- [About the Cognite PI AF extractor](https://docs.cognite.com/cdf/integration/guides/extraction/pi_af.md): Learn about the Cognite PI Asset Framework extractor and how it connects to OSIsoft PI AF to extract elements and their attributes and unit-of-measure classes into the CDF staging area (RAW).
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/pi_af/pi_af_server_requirements.md): Hardware, software, and network requirements for installing and running the Cognite PI AF extractor.
- [Set up the PI AF extractor](https://docs.cognite.com/cdf/integration/guides/extraction/pi_af/pi_af_setup.md): Install, configure, run, upgrade, and uninstall the Cognite PI AF extractor on Windows.
- [About the Cognite PI replace utility](https://docs.cognite.com/cdf/integration/guides/extraction/pi_replace.md): Re-ingest time series data to CDF when data points are invalid, incorrect, or missing, and recover from data loss and reconnection incidents.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/pi_replace/pi_replace_configuration.md): Complete reference for configuring the PI replace utility including YAML settings for replace operations, data quality checks, events, and state storage.
- [Integrate with the Cognite PI extractor](https://docs.cognite.com/cdf/integration/guides/extraction/pi_replace/pi_replace_integration.md): Configure the PI extractor and PI replace utility to automatically detect and correct data loss and reconnection incidents using Cognite Data Fusion (CDF) events.
- [Extractor logs, reports and metrics](https://docs.cognite.com/cdf/integration/guides/extraction/pi_replace/pi_replace_metrics.md): Monitor PI replace utility performance with logger output, CSV reports, Prometheus metrics, and data quality checks for Cognite Data Fusion (CDF) data points.
- [Set up the PI replace utility](https://docs.cognite.com/cdf/integration/guides/extraction/pi_replace/pi_replace_setup.md): Learn how to install and configure the Cognite PI replace utility to correct data loss and reconnection incidents in Cognite Data Fusion (CDF).
- [Staging](https://docs.cognite.com/cdf/integration/guides/extraction/raw_explorer.md): Stream or batch-extract data into the Cognite Data Fusion (CDF) staging area (RAW) and use the RAW explorer to profile and view data quality.
- [REST extractor](https://docs.cognite.com/cdf/integration/guides/extraction/rest.md): Learn how to use the Cognite REST extractor to read data from REST APIs on a fixed schedule with custom mappings and pagination.
- [About the Cognite SAP extractor](https://docs.cognite.com/cdf/integration/guides/extraction/sap.md): Learn how the Cognite SAP extractor connects to SAP systems and ingests data into Cognite Data Fusion (CDF).
- [Extractor metrics](https://docs.cognite.com/cdf/integration/guides/extraction/sap/sap_metrics.md): Available Prometheus metrics for monitoring and debugging the SAP extractor.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/sap/sap_server_requirements.md): Hardware and software requirements for installing the SAP extractor. You can install the extractor on a physical server, on a virtual machine on-premises, or in the cloud.
- [Set up the SAP extractor](https://docs.cognite.com/cdf/integration/guides/extraction/sap/sap_setup.md): Learn how to set up and configure the SAP extractor to connect to SAP endpoints and extract data to CDF.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/extraction/sap/sap_troubleshooting.md): Find steps to troubleshoot common issues while running the SAP extractor.
- [Set up on-premises data integration](https://docs.cognite.com/cdf/integration/guides/extraction/security.md): Best practices for setting up secure on-premises data integration services for Cognite Data Fusion (CDF), including user configuration, secrets management, and network security.
- [About Cognite WITSML extractor](https://docs.cognite.com/cdf/integration/guides/extraction/witsml.md): Overview of the Cognite WITSML extractor that ingests wellsite data using SOAP and ETP protocols into CDF.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/extraction/witsml/witsml_configuration.md): Configuration parameters and settings for the WITSML extractor to connect to WITSML servers and ingest data into CDF.
- [WITSML data objects](https://docs.cognite.com/cdf/integration/guides/extraction/witsml/witsml_guide.md): Overview of WITSML server 1.4.1.1 data objects and their corresponding CDF resource types.
- [Extractor metrics](https://docs.cognite.com/cdf/integration/guides/extraction/witsml/witsml_metrics.md): Performance metrics available from the WITSML extractor for remote monitoring and debugging.
- [Server requirements](https://docs.cognite.com/cdf/integration/guides/extraction/witsml/witsml_requirements.md): Hardware, software, and network requirements for installing the WITSML extractor.
- [Set up the WITSML extractor](https://docs.cognite.com/cdf/integration/guides/extraction/witsml/witsml_setup.md): Learn how to install, configure, and deploy the Cognite WITSML extractor as a Docker container.
- [About extraction pipelines](https://docs.cognite.com/cdf/integration/guides/interfaces/about_integrations.md): Monitor data flow in Cognite Data Fusion (CDF) with extraction pipelines to catch failures and ensure reliable data integration.
- [Set up extraction pipelines](https://docs.cognite.com/cdf/integration/guides/interfaces/add_integrations.md): Create and configure extraction pipelines to monitor data integration into Cognite Data Fusion (CDF).
- [Set up extraction pipelines with remote configuration files](https://docs.cognite.com/cdf/integration/guides/interfaces/configure_integrations.md): Configure extractors remotely using cloud-stored configuration files with GitHub Actions or the Cognite API.
- [Monitor extraction pipelines](https://docs.cognite.com/cdf/integration/guides/interfaces/monitor_integrations.md): Monitor extraction pipelines to ensure reliable data integration and quickly identify and troubleshoot failures.
- [Setup and administration for PostgreSQL gateway 2.0](https://docs.cognite.com/cdf/integration/guides/interfaces/postgres_gateway.md): Set up the Cognite PostgreSQL gateway to ingest data into CDF from ETL tools using Microsoft Entra ID authentication.
- [Ingest data into CDF RAW](https://docs.cognite.com/cdf/integration/guides/interfaces/postgres_gateway/ingest_into_raw.md): Use the PostgreSQL gateway to ingest data from ETL tools into CDF RAW tables.
- [About the PostgreSQL gateway](https://docs.cognite.com/cdf/integration/guides/interfaces/postgres_gateway/postgres_gateway_basics.md): Ingest data into Cognite Data Fusion (CDF) from ETL tools using the PostgreSQL gateway interface.
- [Use Azure Data Factory with PostgreSQL gateway](https://docs.cognite.com/cdf/integration/guides/interfaces/postgres_gateway/setup_data_factory.md): Create data pipelines in Azure Data Factory to ingest data into Cognite Data Fusion (CDF) through the PostgreSQL gateway.
- [SAP writeback service](https://docs.cognite.com/cdf/integration/guides/interfaces/sap_writeback.md): Create and update records in SAP S/4HANA using the Cognite SAP writeback service.
- [Set up the SAP writeback service](https://docs.cognite.com/cdf/integration/guides/interfaces/sap_writeback_setup.md): Configure the SAP writeback service to create and update records in SAP S/4HANA from Cognite Data Fusion (CDF).
- [Data sampling and validation for time series input](https://docs.cognite.com/cdf/integration/guides/simulators/about_data_sampling.md): Learn how data sampling and validation ensure simulation runs with reliable input data through time concepts, validation methods, and best practices.
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_configuration.md): Learn how to configure the GAP connector with YAML parameters for automation and OpenServer connection settings.
- [Parse GAP model revisions](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_model_parsing.md): Learn how the GAP connector extracts information models from simulator model revisions including flowsheet hierarchy, equipment properties, and connections.
- [System requirements](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_server_requirements.md): Review hardware, software, and network requirements for installing the GAP simulator connector on physical or virtual machines.
- [Setup](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_setup.md): Learn how to set up and configure the GAP connector Windows service, including connection modes and model management.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_troubleshooting.md): Find solutions to common GAP connector issues including authentication errors, license problems, and file read failures.
- [Unit conversion](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/gap/gap_units.md): Learn how the GAP connector handles unit conversion with supported quantities, units, and conversion factors.
- [Configure simulator connectors](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/index.md): Learn how to set up and configure Windows-based simulator connectors to enable communication between simulation tools and Cognite Data Fusion (CDF).
- [Configuration settings](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/prosper/prosper_configuration.md): Learn how to configure the PROSPER connector with YAML parameters for automation and OpenServer connection settings.
- [System requirements](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/prosper/prosper_server_requirements.md): Review hardware, software, and network requirements for installing the PROSPER simulator connector on physical or virtual machines.
- [Setup](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/prosper/prosper_setup.md): Learn how to set up and configure the PROSPER connector Windows service and connect to the PROSPER simulator.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/prosper/prosper_troubleshooting.md): Find solutions to common PROSPER connector issues including authentication errors, license problems, and file read failures.
- [Unit conversion](https://docs.cognite.com/cdf/integration/guides/simulators/connectors/prosper/prosper_units.md): Learn how the PROSPER connector handles unit conversion with supported quantities, units, and conversion factors.
- [About simulator integrations](https://docs.cognite.com/cdf/integration/guides/simulators/index.md): Set up simulator integrations to connect first-principle simulation tools and CDF for real-time optimization, predictive maintenance, and digital twin development.
- [Simulators API](https://docs.cognite.com/cdf/integration/guides/simulators/simulator_api.md): Learn about the Simulators API resources for managing simulation operations, from model definition to results analysis in Cognite Data Fusion (CDF).
- [Configure simulation routines](https://docs.cognite.com/cdf/integration/guides/simulators/simulator_routines.md): Learn how to configure simulation routines with scheduling, data preprocessing, input/output mapping, and execution steps for running simulations.
- [Run simulations](https://docs.cognite.com/cdf/integration/guides/simulators/simulator_trigger.md): Learn how to trigger simulation runs manually, programmatically via API, or through scheduled execution in the simulation routine configuration.
- [Troubleshooting](https://docs.cognite.com/cdf/integration/guides/simulators/troubleshooting.md): Find solutions to common simulator integration issues including scheduling, data validation, performance, and API rate limiting.
- [Setup and administration](https://docs.cognite.com/cdf/integration/guides/transformation/admin_oidc.md): Configure OpenID Connect and Microsoft Entra ID to manage access to CDF Transformations using your organization's identity provider.
- [Transform data](https://docs.cognite.com/cdf/integration/guides/transformation/transformations.md): Move or enrich data from source systems, between data models, or from the staging area into Cognite Data Fusion (CDF) by transforming data into CDF's data model or user-defined data models.
- [Write SQL queries](https://docs.cognite.com/cdf/integration/guides/transformation/write_sql_queries.md): Transform data from the CDF staging area into a data model using built-in and custom Spark SQL queries with code completion and custom functions.
- [Data integration overview](https://docs.cognite.com/cdf/integration/index.md): Connect your industrial data sources to Cognite Data Fusion with extractors, connectors, and transformation tools to build efficient data pipelines.
- [Jupyter Notebook](https://docs.cognite.com/cdf/jupyter/index.md): Jupyter Notebook is integrated with Cognite Data Fusion (CDF) and you can create interactive notebook documents that can contain live code, equations, visualizations, and media.
- [Configure location filters](https://docs.cognite.com/cdf/locations/guides/index.md): Configure location filters using the CDF interface or Cognite Toolkit to help users find and select data related to specific physical locations in your CDF project. How you set up the location filters depends on how your data is stored and structured in the CDF project.
- [Manage locations](https://docs.cognite.com/cdf/locations/index.md): Define location filters to help users find and select data related to specific physical locations, improving 3D experiences and natural language search results.
- [Import activities from a CSV file](https://docs.cognite.com/cdf/maintain/guides/import_activities.md): Import multiple activities into Maintain by uploading a CSV file with activity data.
- [Plan activities](https://docs.cognite.com/cdf/maintain/guides/set_work_scope.md): Create and manage plans to schedule activities, identify conflicts, and optimize work scope.
- [About Cognite Maintain](https://docs.cognite.com/cdf/maintain/index.md): Cognite Maintain helps you plan, review, and improve your field activities for medium to long-term projects.
- [Release states and availability](https://docs.cognite.com/cdf/product_feature_status.md): Release states and availability for Cognite Data Fusion functionality to help admins and IT professionals prepare for future releases.
- [Sign in to CDF](https://docs.cognite.com/cdf/sign-in.md): To sign in to Cognite Data Fusion, you must provide your organization's name, enter your credentials, and specify which project you're signing in to.
- [Subscribe to CDF](https://docs.cognite.com/cdf/sign-up.md): Subscribe to Cognite Data Fusion (CDF) and connect to and use our cloud-based apps and services.
- [Streamlit apps](https://docs.cognite.com/cdf/streamlit/index.md): Create data visualization tools, dashboards, and prototypes using Streamlit.
- [Compliance](https://docs.cognite.com/cdf/trust/compliance/index.md): Learn about Cognite compliance certifications including ISO 9001, ISO 27001, ISO 27018, SOC 2, and CSA STAR.
- [Availability and business continuity](https://docs.cognite.com/cdf/trust/security/availability_continuity.md): Learn about CDF service availability, maintenance windows, backup procedures, and disaster recovery processes.
- [About trust and security](https://docs.cognite.com/cdf/trust/security/index.md): Cognite Data Fusion (CDF) integrates with existing equipment and infrastructure to provide insights and realize value from your industrial data.
- [Reliability](https://docs.cognite.com/cdf/trust/security/reliability_intro.md): Learn how CDF ensures high availability, resilient infrastructure, automated backups, and comprehensive disaster recovery capabilities with defined RTOs and RPOs to maintain operational continuity.
- [Security](https://docs.cognite.com/cdf/trust/security/security_intro.md): Learn about Cognite security principles, shared responsibility model, and identity and access management.
- [Vulnerability disclosure policy](https://docs.cognite.com/cdf/trust/vulnerability-disclosure-policy.md): Learn how to report security vulnerabilities in Cognite services and software according to our disclosure policy.
- [What's new?](https://docs.cognite.com/cdf/whatsnew.md): Latest updates, new features, and improvements to Cognite Data Fusion.
- [API versions](https://docs.cognite.com/dev/API_versioning.md): Learn about Cognite API versioning, the policy for backwards compatibility, and the end-of-life schedule for the APIs.
- [Calendar and time zone](https://docs.cognite.com/dev/concepts/aggregation/calendar.md): Learn how to use Cognite Data Fusion in a local time zone with queries that span over calendar entities like months.
- [Aggregation](https://docs.cognite.com/dev/concepts/aggregation/index.md): Learn how Cognite Data Fusion aggregates and interpolates time series data, and see the details about the available aggregation functions.
- [Data point subscriptions](https://docs.cognite.com/dev/concepts/data_point_subscriptions/index.md): Learn how to subscribe to time series updates in real-time using data point subscriptions to monitor changes across large sets of time series.
- [Define unique IDs with externalId](https://docs.cognite.com/dev/concepts/external_id.md): Learn how to use the externalId field to define unique IDs for data objects in CDF and maintain relationships between source systems.
- [Pagination](https://docs.cognite.com/dev/concepts/pagination.md): Learn how to paginate CDF resources using cursors, including parallel retrieval techniques and datapoint pagination strategies.
- [Status codes](https://docs.cognite.com/dev/concepts/reference/status_codes.md): Learn how status codes determine the quality of time series data points and impact data retrieval, aggregate computation, and visualization.
- [Best practices for plotting charts with data points](https://docs.cognite.com/dev/concepts/reference/ts_plotting_charts.md): Learn how to use the Time Series API to render precise, high fidelity charts with proper aggregation and data point handling.
- [Request throttling](https://docs.cognite.com/dev/concepts/resource_throttling.md): Learn about rate limiting, concurrency limiting, and conflicting requests in CDF and how to handle HTTP 429 responses.
- [3D models](https://docs.cognite.com/dev/concepts/resource_types/3dmodels.md): Learn how CDF stores and organizes 3D models in models and revisions to provide visual and geometrical context to assets.
- [Assets](https://docs.cognite.com/dev/concepts/resource_types/assets.md): Learn how assets in CDF store digital representations of physical objects and connect related data from different sources for contextualization.
- [Entity matching](https://docs.cognite.com/dev/concepts/resource_types/entity_matching.md): Learn how to use entity matching to contextualize data with machine learning by matching entities like time series, files, and sequences to assets.
- [Events](https://docs.cognite.com/dev/concepts/resource_types/events.md): Learn how CDF stores events as time-based information with start and end times that can be related to multiple assets.
- [Files](https://docs.cognite.com/dev/concepts/resource_types/files.md): Learn how CDF stores files and documents related to assets, including metadata, geographic locations, and GeoJSON support.
- [Geospatial](https://docs.cognite.com/dev/concepts/resource_types/geospatial.md): Learn how to store and query geospatial features with spatial representations, coordinate reference systems, and complex filtering in CDF.
- [About resource types](https://docs.cognite.com/dev/concepts/resource_types/index.md): Learn about the different resource types in CDF including assets, time series, events, files, 3D models, sequences, labels, and more.
- [Labels](https://docs.cognite.com/dev/concepts/resource_types/labels.md): Learn how to use labels to create managed terms for annotating and grouping assets, files, and relationships in CDF.
- [RAW](https://docs.cognite.com/dev/concepts/resource_types/raw.md): Learn how to use CDF RAW as a staging area to store unstructured data in its original form before transforming it into the CDF data model.
- [Relationships](https://docs.cognite.com/dev/concepts/resource_types/relationships.md): Learn how to use relationships to connect resource objects in CDF beyond the standard hierarchical asset structure.
- [Sequences](https://docs.cognite.com/dev/concepts/resource_types/sequences.md): Learn how to use sequences in CDF to index series of rows with string or numeric data, such as performance curves and logs.
- [State time series](https://docs.cognite.com/dev/concepts/resource_types/state_timeseries.md): Track discrete operational states of industrial equipment with predefined valid states and specialized aggregations optimized for analyzing state changes.
- [Synthetic time series](https://docs.cognite.com/dev/concepts/resource_types/synthetic_timeseries.md): Learn how to combine time series with constants, operators, and functions to create new synthetic time series in CDF.
- [Time series](https://docs.cognite.com/dev/concepts/resource_types/timeseries.md): Learn how to use time series in CDF to index data points in time order, with support for aggregation, interpolation, and status codes.
- [Unit catalog changelog](https://docs.cognite.com/dev/concepts/resource_types/units/changelog.md)
- [Contributing to the unit catalog](https://docs.cognite.com/dev/concepts/resource_types/units/contribute.md): Learn how to contribute new units and unit systems to the Cognite global unit catalog through GitHub.
- [Units in Cognite Data Fusion](https://docs.cognite.com/dev/concepts/resource_types/units/units.md): Learn how to use Units in CDF to standardize measurement data and enable seamless unit conversion across time series and data models.
- [Advanced querying](https://docs.cognite.com/dev/guides/advanced-query/advanced_query_intro.md): Learn how to use advanced query language (AQL) for search, filter, sort, and aggregation operations on CDF resources.
- [Aggregation types](https://docs.cognite.com/dev/guides/advanced-query/aggregation_types.md): Learn about advanced aggregation APIs including count, cardinality, unique values, and unique properties for contextualizing data.
- [Best practices and limits](https://docs.cognite.com/dev/guides/advanced-query/best_practices_and_limits.md): Learn about best practices, pagination, rate limiting, and restrictions for advanced query operations in CDF.
- [Filtering](https://docs.cognite.com/dev/guides/advanced-query/filtering.md): Learn how to build complex queries with boolean logic, leaf filters, and advanced query operations in CDF.
- [Document question answering](https://docs.cognite.com/dev/guides/ai/document_qa.md): Learn how to use the AI-powered Document question answering API to ask questions about PDF documents uploaded to CDF.
- [Document summary](https://docs.cognite.com/dev/guides/ai/document_summarization.md): Learn how to use the AI-powered Document summary API to create summaries for PDF documents uploaded to CDF.
- [Semantic search](https://docs.cognite.com/dev/guides/ai/semantic_search.md): Learn how to use the Semantic search API to find texts with similar semantic meaning in PDF documents using vector embeddings.
- [Authentication](https://docs.cognite.com/dev/guides/iam/authentication.md): Learn how authentication validates user identity in Cognite Data Fusion using OAuth2 tokens and identity providers.
- [Authorization](https://docs.cognite.com/dev/guides/iam/authorization.md): Learn how role-based access control governs access to resources in Cognite Data Fusion using groups, capabilities, and security categories.
- [Authenticate an external application](https://docs.cognite.com/dev/guides/iam/external-application.md): Learn how to integrate external applications with Cognite Data Fusion using token-based authentication and OAuth2 authorization code flow.
- [Limitations on IAM resources](https://docs.cognite.com/dev/guides/iam/iam_limits.md): Learn about the limits on IAM resources in Cognite Data Fusion including groups and security categories per project.
- [About identity and access management](https://docs.cognite.com/dev/guides/iam/index.md): Learn how identity and access management controls which users and applications have access to data in Cognite Data Fusion.
- [Connecting your IDE to Cognite documentation](https://docs.cognite.com/dev/guides/ide_ai_integration.md): Step-by-step guide to connect your development environment to Cognite's documentation through MCP server and SKILL.md integration.
- [Set up Postman with Cognite API](https://docs.cognite.com/dev/guides/postman.md): Step-by-step guide to configure Postman with OpenID Connect authentication to test Cognite API requests and verify responses.
- [Upload 3D models programmatically](https://docs.cognite.com/dev/guides/upload-3d.md): Learn how to upload multiple 3D models to CDF using the Cognite API and SDKs for automated updates.
- [Building with Cognite Data Fusion](https://docs.cognite.com/dev/index.md): Use the Cognite API and SDKs to retrieve data, add context, and develop applications that match your operational needs.
- [Development quickstart](https://docs.cognite.com/dev/quickstart.md): Get up and running with the Cognite Data Fusion API libraries in a few simple steps using Postman and OpenID Connect authentication.
- [.Net SDK](https://docs.cognite.com/dev/sdks/dotnet_sdk.md)
- [Python extractor utils](https://docs.cognite.com/dev/sdks/extractor_utils.md)
- [Geospatial SDK](https://docs.cognite.com/dev/sdks/geospatial_sdk.md)
- [Overview of SDKs and toolkits](https://docs.cognite.com/dev/sdks/index.md): Overview of Cognite Data Fusion (CDF) SDKs and toolkits, including general, specialized, and industry SDKs, as well as supported languages and tools.
- [Java SDK](https://docs.cognite.com/dev/sdks/java_sdk.md)
- [Authentication](https://docs.cognite.com/dev/sdks/js/authentication.md)
- [Changelog](https://docs.cognite.com/dev/sdks/js/changelog.md)
- [GitHub](https://docs.cognite.com/dev/sdks/js/github.md)
- [Get started with JavaScript SDK](https://docs.cognite.com/dev/sdks/js/index.md): Learn how to install the JavaScript SDK, authenticate with OAuth, and build web and backend applications with Cognite Data Fusion.
- [Upgrade JavaScript SDK](https://docs.cognite.com/dev/sdks/js/migration.md): Learn how to upgrade the JavaScript SDK from version 1.x to 2.x and from 2.x to 3.x with migration guides and code examples.
- [Usage](https://docs.cognite.com/dev/sdks/js/usage.md)
- [Changelog](https://docs.cognite.com/dev/sdks/pygen/changelog.md)
- [GitHub](https://docs.cognite.com/dev/sdks/pygen/github.md)
- [Python Data Modeling SDK Generator (Pygen)](https://docs.cognite.com/dev/sdks/pygen/index.md): Learn about Pygen, a Python package and CLI for generating Python SDKs from Cognite Data Fusion data models for exploration, development, and data population.
- [Usage](https://docs.cognite.com/dev/sdks/pygen/usage.md)
- [Changelog](https://docs.cognite.com/dev/sdks/python/changelog.md)
- [GitHub](https://docs.cognite.com/dev/sdks/python/github.md)
- [Get started with Python SDK](https://docs.cognite.com/dev/sdks/python/index.md): Learn how to install the Python SDK, authenticate with OpenID Connect, and start working with Cognite Data Fusion resources.
- [Authenticate with Entra ID](https://docs.cognite.com/dev/sdks/python/python_auth_oidc.md): Learn how to authenticate the Python SDK with Entra ID using user credentials, interactive login, device code, or client secrets.
- [Register an app in Entra ID](https://docs.cognite.com/dev/sdks/python/register_app_jupyter_sdk.md): Learn how to register an application in Entra ID for use with the Python SDK, Jupyter notebooks, or Postman with interactive authentication.
- [Usage](https://docs.cognite.com/dev/sdks/python/usage.md)
- [Reveal 3D SDK](https://docs.cognite.com/dev/sdks/reveal_3d_sdk.md)
- [Rust SDK](https://docs.cognite.com/dev/sdks/rust_sdk.md)
- [Scala SDK](https://docs.cognite.com/dev/sdks/scala_sdk.md)
- [Simulator utils](https://docs.cognite.com/dev/sdks/simulator_utils.md)
- [Spark Data Source](https://docs.cognite.com/dev/sdks/spark_data_source.md)
- [Working with specialized SDKs](https://docs.cognite.com/dev/sdks/specialized_sdks.md): Explore specialized SDKs for 3D visualization, geospatial data, and Apache Spark integration.
- [Use the API](https://docs.cognite.com/dev/use_the_API.md): Learn how to construct requests to access resources in Cognite Data Fusion using the RESTful web API, including HTTP methods, versioning, and resource types.
- [Cognite documentation](https://docs.cognite.com/index.md): Self-service product documentation for developers and technology professionals.


## Optional

- [API reference](https://api-docs.cognite.com/20230101/)