Planning a CDF implementation

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.

• Plan and prepare — learn how to do the groundwork to plan and prepare for the implementation.

• Roles in a Cognite Data Fusion (CDF) implementation — see the roles and responsibilities that we've found to be critical to making CDF a success.

• Identify business objectives — set your short-term and long-term objectives for CDF.

• Identify data sources and plan the integration — 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 — learn about the importance of security, reliability, and service availability.

• Establish deployment workflows — establish deployment workflows to promote changes to production frequently to reduce risk and encourage a culture of continuous improvement.

• Configure access management — set up your identity provider (IdP) and Cognite Data Fusion (CDF) project to allow users to sign in to Cognite apps with their organizational ID.