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jrlasak/databricks_optimization_techniques

Delta Lake Optimization Project: Hands‑on lab to explore partitioning, Z‑Ordering, compaction (manual & auto), Liquid Clustering, and VACUUM using a synthetic sales dataset in Databricks. Includes a step‑by‑step notebook to measure file scans, bytes read, and query performance for each optimization.

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Owner: jrlasak
City: Warszawa
Language: Python

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Snapshot: 2026-04-01

Stars: 19
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