Planning

Proper planning is crucial to manage the lifecycle of the applications, data integrations, and other modules implemented with Cognite Data Fusion (CDF). The goal is to have a reliable, high-quality implementation in a production environment while supporting a fast iterative setup for a development environment. In addition, there should be clear rules on how to move between these environments (and potentially quality assurance/staging environments in between) to maintain the goals of the production environment.

The articles in this section help you capture your goals, track your setup checklist, and find Cognite resources to help fast-track your CDF implementation. It will also help you decide the level of involvement you expect from Cognite or our partners to implement CDF, or if you want to implement CDF on your own.

📄️ Preparing for implementation

We typically separate projects into sprints with a defined duration (usually two or three weeks). Each sprint has a set of deliverables that the project team commits to finishing during the sprint.

📄️ Roles in a CDF implementation

Implementing CDF projects often requires the expertise and skills of many individuals. The list below shows the roles and responsibilities that we've found to be critical to making CDF a success.

📄️ Identify business objectives

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.

📄️ Data sources and integration

What data you need to solve your business problems directly influences which data sources you choose to integrate with Cognite Data Fusion (CDF) first. To get started, we recommend that you focus on well-defined data sets for the asset/equipment in your scope and on the essential data to solve the business problem.

📄️ Understand security, reliability, and service availability

The article discusses the importance of security in protecting sensitive data for organizations. It also highlights the reliability of Cognite Data Fusion (CDF) and the measures in place for high availability and disaster recovery. Additionally, it explains how service availability is continuously monitored and updated, and provides information on how to request data restoration.

📄️ Establish deployment workflows

TThe main goal of establishing deployment workflows is to promote changes to production frequently. This will result in faster feedback, reduced risk due to smaller changes being promoted, more efficient development processes, and encourage a culture of continuous improvement.

📄️ Configure access management

This article outlines the steps to set up a Microsoft Entra ID (ME-ID) tenant and a Cognite Data Fusion (CDF) project to allow users to sign in to Cognite apps with their organizational ID.