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Seven Steps To DataOps

How to Become a Rising Star with Data Analytics

How to Become a Rising Star with Data Analytics

A Guide to DataOps
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How Data Analytics Professionals Can Sleep Better

How Data Analytics Professionals Can Sleep Better

Seven Steps to Implementing DataOps: Step 1 — Add Data and Logic Tests
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The Best Way to Manage Your Data Analytics Source Files

The Best Way to Manage Your Data Analytics Source Files

Seven Steps to Implementing DataOps: Step 2 — Use a Version Control System
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How to Enable Your Data Analytics Team to Work in Parallel

How to Enable Your Data Analytics Team to Work in Parallel

Seven Steps to Implementing DataOps: Step 3 — Branch and Merge
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Work Apart So You Can Work Together

Work Apart So You Can Work Together

Seven Steps to Implementing DataOps: Step 4 — Use Multiple Environments
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How to Inspire Code Reuse in Data Analytics

How to Inspire Code Reuse in Data Analytics

Seven Steps to Implementing DataOps: Step 5 — Reuse & Containerize
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Making Data Analytics Responsive to the Organization’s Needs

Making Data Analytics Responsive to the Organization’s Needs

Seven Steps to Implementing DataOps: Step 6 — Parameterize Your Processing
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Work Without Fear Or Heroism

Work Without Fear Or Heroism

The Seven Steps of Implementing DataOps — Step 7
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