Using Redash for SQL Analytics on Databricks
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The document introduces Redash, an open-source dashboarding and visualization tool for SQL users, highlighting its ease of use and wide adoption among enterprises. It integrates seamlessly with Databricks, offering features like an SQL editor, visualizations, and the ability to share dashboards. Redash supports various data sources including SQL, NoSQL, and big data, aiming to help users make sense of their data.
Using Redash for SQL Analytics on Databricks
- 1. Visualize and Dashboard Your Cloud Data with Redash and SQL Arik Fraimovich Engineering at Databricks and Founder of Redash Jesse Whitehouse Engineering at Databricks and Former CSE for Redash
- 2. Arik Fraimovich Introduction to Redash and Redash with Databricks Jesse Whitehouse Visualizing your data lake data with Redash and Databricks Agenda
- 3. Easy-to-use open source dashboarding and visualization service for SQL Users
- 4. Redash is built by the open source community of 300+ contributors
- 5. Global adoption in production workloads 7000+ Open Source Deployments 600+ SaaS Customers
- 6. Redash helps you make sense of your data Familiar SQL editor ▪ Browse schema and click-to-insert ▪ Create reusable snippets ▪ Schedule updates and setup alerts
- 7. Redash helps you make sense of your data Visualize and share ▪ Build a wide variety of visualizations and gather them into thematic dashboards ▪ Drag & drop and resize any visualization ▪ Share dashboards with your team or with the public
- 8. Redash + Databricks ▪ Endpoints auto populated in the Data Sources list ▪ See status of your endpoints ▪ See query history + helpful metrics More to come!
- 9. Redash helps you make sense of your data Databases Integrations Query all of your SQL, NoSQL, big data, and API data sources
- 10. Demo
- 11. Q&A