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Lakehouse architectures allow multiple engines to run on shared data through…

Lakehouse architectures allow multiple engines to run on shared data through open table formats like #ApacheIceberg.

But #SQL identifier resolution and catalog naming rules differ across engines - creating hidden interoperability failures.

In this #InfoQ article, Maninder Parmar explains why enforcing consistent naming conventions and cross-engine validation is critical.

📰 Read now: https://bit.ly/4902zeH

#RelationalDatabases #DataLake

Preview image for Lakehouse Tower of Babel: Handling Identifier Resolution Rules across Database Engines

Lakehouse Tower of Babel: Handling Identifier Resolution Rules across Database Engines

Lakehouse architectures enable multiple engines to operate on shared data using open table formats such as Apache Iceberg. However, differences in SQL identifier resolution and catalog naming rules create interoperability failures. This article examines these behaviors and explains why enforcing consistent naming conventions and cross-engine validation is critical.

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