SESSION
Sponsored by: Datafold | Shifting Data Quality to the Left: Automating Data Testing on Databricks
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Engineering and Streaming |
INDUSTRY | Enterprise Technology, Health and Life Sciences, Financial Services |
TECHNOLOGIES | ETL, Governance, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
This talk will explain how a proactive, shift-left approach to data quality can help prevent data issues before they affect data users and businesses. We’ll demonstrate how automated data testing with Datafold on Databricks can solve data quality across three core workflows: when migrating from legacy platforms to Databricks, when continuously replicating data into the lakehouse, and making changes to data transformations.
SESSION SPEAKERS
Gleb Mezhanskiy
/CEO
Datafold