DataOps Environment Management

Environment management, the fourth #TrueDataOps pillar, is all about managing and monitoring the deployment of your code or data product, ensuring maximum value is derived from this data. Environments in this context are typically separate instances where your code is executed, and they may include stages like development, testing, and production. In DataOps.live, the topic of how to manage your data environment is made up of the following elements:

1. DataOps Environments
2. Creating DataOps Environments
3. Branching Strategies
4. Segregating Environments
5. Collaborating across Branches
6. Setting Environment Variables
7. Forcing ingestion in development branches
8. Merge requests
9. Resolving merge conflicts
10. Synchronizing feature and source Branches
11. Orchestrators Pre-Release Versions