databricks_optimization_techniques

Data-Engineering Open Source

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About 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.

Supported Platforms

Open Source Web Cross-Platform

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