We believe that there are seven key steps that analytic teams must follow to implement DataOps.
Test your data and test logic/code/scripts used in each tool in your analytic toolchain.
At the end of the day, analytic models/workbooks/scripts is all just code.
Branching and merging enables people to safely work on their own tasks.
Your analytic work requires coordinating multiple tools and hardware.
Reuse code and results. Manage the environment tool with Containers.
Parameters save you time by allowing you to call subsets of process.
Orchestrate the journey from data to value and the journey from idea to production
Want to learn more? Read the DataKitchen Product Documentation