How to Track DDL Changes in Snowflake | Full Audit Logging Setup
Hey everyone, and welcome back to the channel! 👋
If you're using Snowflake and wondering how to track DDL (Data Definition Language) changes — like when someone adds, drops, or modifies a column — this video is for you!
While Snowflake gives us STREAMS to easily track DML changes (inserts, updates, deletes), it doesn’t provide a direct, built-in way to monitor DDL changes. So… what do we do when table structures change?
In this video, I walk you through how we built a custom DDL audit logging solution from scratch! 🛠️
✅ What You'll Learn:
Why tracking DDL changes is important for data governance & auditing.
How to build a TABLE_SCHEMA_SNAPSHOT to store the “before” state
How to create a DDL_CHANGE_LOG to track changes like column additions, deletions, and data type modifications
A step-by-step breakdown of how the procedure works:
Fetch current schema from INFORMATION_SCHEMA.COLUMNS
Compare with the previous snapshot
Log any detected changes with timestamps and user info
Update the snapshot for next time
Whether you're a Snowflake developer, data engineer, or architect, this solution will help you stay on top of schema changes with a reliable audit trail! 🔍
📂 Useful For:
Compliance and audit needs
Data warehouse integrity
Change management in production environments
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Got questions or want to see the code? Drop a comment below! 💬
Let’s build smarter data pipelines together. 🚀
#snowflake #DDLChanges #dataengineering #audit #snowflaketutorial #DataGovernance #SnowflakeStreams #SchemaMonitoring #SnowflakeSQL