Ten-Times Easier Development Using Databricks Connect and Serverless Spark
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Warehousing - Analytics and BI |
INDUSTRY | Enterprise Technology, Professional Services, Financial Services |
TECHNOLOGIES | Apache Spark, Developer Experience, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Databricks Connect allows customers to connect to Databricks natively using Python, Scala, or R from any IDEs and data applications. Connecting to Databricks clusters comes with latency when waiting for clusters to start and with the complexity of administration. With the public preview of serverless generic compute in Databricks, this experience improves significantly: Using the serverless Spark platform has never been easier. All you need to connect to Spark is a Databricks workspace and user credential, and within seconds, you can leverage the full elasticity of the serverless Spark infrastructure. In this talk, we walk you through live examples of developing and running applications using DB Connect with Databricks serverless Spark directly from different applications like Ploty, RStudio, integration testing, or even any other hosted notebook offering. Using Databricks Spark instantaneously from anywhere will dramatically improve your developer and application experience.
SESSION SPEAKERS
Martin Grund
/Principal Engineer
Databricks
Vladislav Mantic-Lugo
/Product Manager
Databricks