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DATABRICKSRetail

Databricks Delta Lake Optimization — 70% Runtime Reduction

Client
Retail Analytics Platform
Industry
Retail
Duration
5 months
70%
Lower Delta runtime
20→4 min
Job runtime reduction
60–70%
Analytics performance gain
100%
Pipeline reliability
The Challenge

Where things stood before

Delta Lake workloads suffered chronic skew, 20-minute job runtimes and cluster hotspots blocking downstream analytics and ML feature refresh.

Our Approach

How we engineered the outcome

  • Introduced Z-Ordering and adaptive partitioning on hot dimensions.
  • Implemented compaction and OPTIMIZE schedules with vacuum retention tuned to workload.
  • Rebuilt Silver → Gold transformations in dbt with tests and lineage.
  • Rebalanced executor allocation to eliminate hotspots.
The Outcomes

Measurable business impact

70%

Lower Delta runtime

20→4 min

Job runtime reduction

60–70%

Analytics performance gain

100%

Pipeline reliability