Build and deploy solutions

The sections below introduce features you can use to build and deploy your CDF solutions.

📄️ Jupyter Notebook

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.

📄️ Streamlit apps

Streamlit is integrated with Cognite Data Fusion (CDF) and you can use it to create data visualization tools, dashboards, or prototypes and make these available in the _Industrial tools_ workspace. Access to data is governed by the user running the app, and users can only see data they already have access to.

🗃️ Data science and machine learning

2 vienumi

🗃️ Functions

3 vienumi

📄️ Deploy solutions

Use templates to structure and organize data to your needs. You can assign fields to the template to which you then give values or reference other data such as time series or assets. Build your view of the data available in Cognite Data Fusion (CDF) and simplify the applications and solutions you are working on by accessing data through templates. Templates remove the gap between the application's data model and the preexisting structure of the relevant data. It's easy to scale your solution across more data without changing or redeploying your application code or configuration. Instead, you can work with your template in CDF and use the tooling available to scale to more data with governance.