https://www.infoq.com InfoQ Query feed https://www.infoq.com/articles/liquid-clustering-lakehouse-layout/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Query <img src="https://res.infoq.com/articles/liquid-clustering-lakehouse-layout/en/headerimage/liquid-clustering-lakehouse-layout-header-1791465984987.jpg"/><p>Physical data layout is one of the most consequential decisions in lakehouse engineering. The author compares Liquid Clustering, ZOrdering, and partitioning across four workload types on Delta Lake, uncovering two undocumented failure modes that likely affect production systems today and offering a decision framework for choosing the right layout strategy.</p> <i>By Kushal Kumar Vishwakarma</i> Performance Evaluation Query Data Storage Benchmark Clustering & Caching Data Lake AI, ML & Data Engineering Architecture & Design article Mon, 12 Oct 2026 11:00:00 GMT https://www.infoq.com/articles/liquid-clustering-lakehouse-layout/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Query Kushal Kumar Vishwakarma 2026-10-12T11:00:00Z /articles/liquid-clustering-lakehouse-layout/en