Data Governance 101

1. Why is Data Governance hard?
A. There is too much data.
B. There is too much complexity.
C. There is no context for data usage.
2. Automation examples to ease data governance.
A. Where is my data?
B. Who has access to data?
C. How is the data used?
This session covered how to automate data governance tasks with the following tools:
A. PIICatcher & Data Lineage for cataloging data sets.
B. Analyze access to datasets in AWS Glue Catalog.
C. Storing Snowflake or AWS Redshift query history for detecting behavioral patterns.
D. ProxySQL (MySQL) and pgPool (Postgres) to capture query history on production databases.

The speaker is Rajat Venkatesh - Cloud Data Security, Big Data, and data warehouse professional working at LinkedIn.