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Redash: Open Source SQL Analytics on Data Lakes

Developer Marketing and Relations at MuleSoft
Jul. 9, 2020
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Redash: Open Source SQL Analytics on Data Lakes

  1. Redash on Databricks A Product Walkthrough of SQL on Data Lakes Jesse Whitehouse & Francois Callewaert
  2. Presenters Jesse Whitehouse Redash Engineering Francois Callewaert Data Science
  3. Agenda Introduction to Redash on Databricks Product Walkthrough Use Cases & Redash in Action Closing & Next Steps Q&A
  4. What is Redash? Redash is the easiest way to query, visualize, and share insights from your data lake. It’s an open source project, integrated into Databricks It gives SQL-native users a simple but powerful interface to the power of Databricks. ● SQL Box ● Fast Visualizations / Dashboards ● Scheduled Queries / Alerts ● Data Sources ● Quick share links
  5. Redash on Databricks: Who is it for? Data Science Data Engineering SQL Analytics & Sharing
  6. What can Redash do? ● Easy integration with Databricks ● Simple SQL Editor (Spark SQL, Autocomplete) ● Fast Results → Visualizations → Dashboards ● Flexible execution: ○ Parameters ○ Scheduled Queries ○ Alerts ● REST API ● Share data and insights seamlessly across your company (and dozens more + most REST APIs)
  7. Redash Walkthrough
  8. Redash Case Study
  9. Redash Case Study
  10. Case Study Demo
  11. Next Step ● Sign up for the Private Preview Waitlist at dbricks.co/redashpreview
  12. Q&A
  13. Feedback Your feedback is important to us. Don’t forget to rate and review the sessions.
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