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The Seven Steps to Implement #DataOps
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Chris Berg, Head Chef & CEO of DataKitchen goes over The Seven Steps of #DataOps, a set of DataOps best practices on how analytics teams can deliver data products fast at high quality using the tools that they love.
The Seven Steps of DataOps:
1. Add data & logic tests
2. Add end-to-end steps into version control
3. Branch & merge
4. Use multiple environments
5. Re-use & containerize
6. Parameterize your processing
7. Use simple storage
The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your development & production workflows so cross-functional teams can seamlessly collaborate, quickly innovate, & instantly deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.
[Resources]
The Seven Steps of DataOps:
1. Add data & logic tests
2. Add end-to-end steps into version control
3. Branch & merge
4. Use multiple environments
5. Re-use & containerize
6. Parameterize your processing
7. Use simple storage
The DataKitchen DataOps Platform is your command center for DataOps. The Platform automates the key functions of your development & production workflows so cross-functional teams can seamlessly collaborate, quickly innovate, & instantly deliver the kind of error-free, on-demand insight that leads to one successful business decision after another.
[Resources]
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