Backfilling materialized views in ClickHouse: A practical guide
Mark Needham
Learn how to properly backfill historical data when adding materialized views to existing ClickHouse tables.
This tutorial walks you through a common challenge when working with large datasets and shows you how to maintain data consistency across your analytics pipeline.
In this video, you'll discover:
- How to create efficient materialized views for aggregating data
- Why backfilling is necessary when adding views to tables with existing data
- A step-by-step approach using temporary tables for backfilling large datasets
- Practical techniques to avoid memory issues with large backfill operations
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