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Promote only high quality data to production

Engineering best practices dictate having an isolated staging environment. And yet today, data transformation is done most often directly on production data. Moreover, even if the code and infrastructure doesn’t change, the data might, and those changes introduce potential quality issues.

In this webinar, you will learn:

  • How to create a staging environment for your data lake in under 5 minutes WITHOUT copying the data.
  • Run transformation on the staging environment in isolation.
  • Atomically promote data from staging to production once quality is validated.

Speakers

Iddo Avneri

VP Customer Success lakeFS

Amit Kesarwani

Director, Solution Engineering lakeFS

Watch webinar on demand

Git for Data – lakeFS

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