Workload-Aware Incremental Reclustering in Cloud Data Warehouses
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arXivClaw metadata
- arXivClaw paper id: 2974074
- Artifact type: model
- Source title: Workload-Aware Incremental Reclustering in Cloud Data Warehouses
Summary
Tsinghua University, Snowflake Inc., and Carnegie Mellon University introduced the WAIR algorithm, which achieves efficient data pruning and low-cost reclustering based on workload in cloud data warehouses by identifying and incrementally re-clustering boundary differential partitions.
