Scaling Self Service Analytics with Databricks and Apache Spark with Amelia Chu and Dan Morris
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The document discusses how Viacom scaled self-service analytics using Databricks and Apache Spark. It provides examples of recent sightings of key roles including data scientist, data engineer, and business analyst interacting with the single analytics platform. The platform allows for parameterized dashboards, a UDF library, and self-service capabilities to empower various roles. Feedback is welcomed via email or Twitter to the authors.
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Scaling Self Service Analytics with Databricks and Apache Spark with Amelia Chu and Dan Morris
- 1. Dan Morris & Amelia Chu Viacom Scaling Self Service Analytics with Databricks and Apache Spark
- 2. ==== WANTED Cash Reward if Found Recent Sightings 9:00 AM As a Data Scientist 11:00 AM As a Data Engineer 1:00 PM As a Business Analyst 3:00 PM As a DevOps Engineer
- 9. DATA ENGINEER DATA SCIENTISTNON-TECHNICAL SINGLE PLATFORM
- 10. + SELF-SERVICE
- 12. PARAMETERIZED DASHBOARDS UDF LIBRARY def ttff(specs): … def vpi(specs): … def rebuffer(specs): … def rendition(specs): … def ad_play(specs): … +
- 15. 1 DATA SCIENTIST UDF LIBRARY DATA ENGINEER def ttff(specs): … def vpi(specs): … def rebuffer(specs): … def rendition(specs): … def ad_play(specs): …
- 17. Thank You. Questions? Feedback? Drop us a line! [email protected] // @danmorris427 [email protected] // @amelianchu