Apr 20, 2025 · Databases

Why Wide Tables Fail and How to Design Them Efficiently

This article explains what wide tables are, why they are controversial, outlines three common design pitfalls with practical avoidance tips, and introduces three key technologies—ClickHouse, Cassandra, and Hudi/Iceberg—to help engineers build performant, maintainable wide‑table solutions in data warehouses.

Big DataDatabase designHudi

0 likes · 7 min read

Why Wide Tables Fail and How to Design Them Efficiently

DataFunSummit

Dec 29, 2022 · Big Data

Technical Q&A on Wide Tables, Tracking Parameters, and Data Validation in Data Warehousing

The article presents a technical Q&A covering the challenges of wide tables and historical data retrieval, the recommendation to separate public and private tracking parameters, methods for validating tracking data using automated rules and manual checks, and announces DataFun's 5‑year anniversary series on big data and AI.

Data Warehousingdata validationtracking parameters

0 likes · 3 min read

Technical Q&A on Wide Tables, Tracking Parameters, and Data Validation in Data Warehousing