SESSION

Learn Practical Techniques for Applying Data Quality in the Lakehouse with Databricks

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Governance
TECHNOLOGIESDatabricks Experience (DBX), Governance
SKILL LEVELBeginner
DURATION40 min

Data quality has been a critical and common practice employed across industries for many years. At the core, data quality encompasses six dimensions, including consistency, accuracy, validity, completeness, timeliness, and uniqueness.

 

However, a significant challenge remains in streamlining these processes to prevent data management issues and enhance their utility for downstream analytics, data science, and machine learning. The session will delve into the six dimensions of data quality, detailing the specific techniques and features that enhance the Databricks Platform's functionality.

SESSION SPEAKERS

Lara Rachidi

/Solutions Architect
Databricks

Liping Huang

/Senior Solutions Architect
Databricks