SESSION
Unity Catalog Lakeguard: Data Governance for Multi-User Apache™ Spark Clusters
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Governance |
INDUSTRY | Energy and Utilities, Health and Life Sciences, Financial Services |
TECHNOLOGIES | Apache Spark, Developer Experience, Governance |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Databricks is the only lakehouse that lets you efficiently run diverse workloads from analytics to machine learning, using SQL, Python, or Scala, without compromising data governance. In this presentation, we will discuss how the twin innovations of Shared Clusters and Unity Catalog make this possible. This is an exciting moment because these capabilities, only available on Databricks, help Databricks users reduce cost and minimize operational toil, all the while enabling you to securely and inexpensively run all workloads on shared compute resources. There is such a thing as a free lunch, after all!
SESSION SPEAKERS
Martin Grund
/Principal Engineer
Databricks
Stefania Leone
/Director, Product Management
Databricks