SESSION

Lakehouse Monitoring: Data Quality and Classification to Maintain a Self-Serve Data Platform

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Governance
TECHNOLOGIESDatabricks Experience (DBX), AI/Machine Learning, Governance
SKILL LEVELIntermediate
DURATION40

Lakehouse Monitoring on the Databricks Unity Catalog allows platform teams to build towards the self-serve data platform dream. By facilitating continuous tracking and quantitative assessment, Lakehouse Monitoring tracks data consistency and model accuracy over time-- as well as enables alerts on shifts in data trends or model performance. We will show you how to enable a self-serve data platform that safeguards against potential issues before they escalate. And, with our new data classification capabilities, we will show you how to streamline the protection of sensitive information while making data more accessible across the organization. Join us to discover how Lakehouse Monitoring is pivotal in establishing a secure, efficient, and democratic data environment.

SESSION SPEAKERS

Kasey Uhlenhuth

/Staff Product Manager
Databricks

IMAGE COMING SOON

Jacqueline Li

/Databricks