5 RULES for data type selection in ClickHouse®

Master the critical data type selection rules in ClickHouse® to optimize storage, compression, and query performance in your analytical workloads. What you'll learn: - Five essential rules for ClickHouse data type selection - Numeric type optimization with overflow considerations - String optimization using LowCardinality and FixedString - Date/time precision selection and timezone handling - Nullable vs. default value trade-offs and storage impact - Special data types and when to use them Perfect for: - Developers designing ClickHouse schemas - Data engineers optimizing ClickHouse performance - Teams learning ClickHouse best practices - Anyone working with analytical databases Key takeaways: - Use strict types and minimal precision for better performance - LowCardinality provides huge compression savings for categorical data - Decimal types are essential for money calculations - Store dates in UTC and convert at query time - Avoid nullable columns when defaults are sufficient This is an extract of this video: https://www.youtube.com/watch?v=Wjfz_wULpl4 Subscribe for more ClickHouse content! 🔔 Learn more: - What is a columnar database? - https://tbrd.co/coldb - When to use a columnar database? - https://tbrd.co/coldb-when - Data Engineering for developers - https://tbrd.co/ch4devs-yt - SQL best practices - https://tbrd.co/faster-sql-yt - How to ingest 1 BILLION rows per second in ClickHouse: https://tbrd.co/1b-rows Tinybird is not affiliated with, associated with, or sponsored by ClickHouse, Inc. ClickHouse® is a registered trademark of ClickHouse, Inc.