The long term success of any part of Scribd’s data platform relies on Platform Engineering putting tools in the hands of developers and data scientists to “choose their own adventure”.
In this session we’ll learn about Databricks (Labs) Terraform integration and how it can automate literally every aspect required for a production-grade platform: data security, permissions, continuous deployment and so on. We’ll learn how Scribd offers their internal customers flexibility without acting as gatekeepers. Just about anything they might need in Databricks is a pull request away. We’ll also learn about the typical deployment patterns of Databricks with Terraform among other customers and clouds and how the project evolved over time.
Connect with us:
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https://databricks.com
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https://www.facebook.com/databricksinc
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https://twitter.com/databricks
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https://www.linkedin.com/company/databricks
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https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here.
https://databricks.com/databricks-named-leader-by-gartner
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#Databricks