Backfilling materialized views in ClickHouse: A practical guide

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