{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bb430bd50c154fcf90f178e8f336bb61\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bb430bd50c154fcf90f178e8f336bb61-9734970379a1d894.gif","duration":135.028,"title":"From WALs to Indexes: The Database Internals Hidden Inside Modern Lakehouses","description":"This Loom explains how open-table data lake formats such as Delta Lake, Apache Iceberg, Apache Hudi, and Paimon reinvent traditional database primitives on top of object storage. The speaker notes that moving data to object storage required rebuilding transactions, concurrency control, metadata management, indexing, compaction, and snapshot isolation. They map these modern implementations back to familiar database concepts like write-ahead logs, catalogs, indexes, and LSM trees. The Loom concludes by considering emerging architectures like Fluss and a broader trend toward tiered data architectures, questioning whether lakehouse systems are rediscovering specialized storage engines for real-time workloads."}