Easily create metric tracking tables using Spark Declarative Pipelines in Databricks
Summary
The video demonstrates how to create metric tracking tables in Databricks using Spark Declarative Pipelines. It shows how to use the create_auto_cdc_from_snapshot_flow function to automatically track changes in a materialized view over time, enabling historical analysis for dashboards.
Summary generated by brickster.ai from the video transcript.
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