This talk gives a brief overview with a demo performing SQL analytics with Redash and Databricks. We will introduce some of the new features coming as part of our integration with Databricks following the acquisition earlier this year, along with a demo of the other Redash features that enable a productive SQL experience on top of Delta Lake.
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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
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