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Query optimization techniques that serve snapshot queries using only columnar storage for high performance on analytical workloads.
Distinct from Query Optimizers: Distinct from Query Optimizers: specifically optimizes snapshot queries by using columnar storage exclusively rather than general query optimization techniques.
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Apache Hudi is an open-source table format that brings ACID transactions, incremental processing, and multi-modal indexing to data lakes. It provides atomic commits with snapshot isolation, rollback, and optimistic concurrency control for reliable data lake operations, while supporting upserts, record-level updates, and deletions in large analytical datasets. The project distinguishes itself through a timeline-based architecture that coordinates all write operations, enabling features like time-travel querying, incremental change streaming, and multi-modal query views that include snapshot, i
Serves snapshot queries using only columnar storage for high performance on analytical workloads.