Blog tagged as Azure Databricks, PySpark, Spark ETL, Cloud Cost Optimization, Data Engineering, Control-M, Azure Synapse, Workflow Orchestration, Enterprise Automation

Cost-Optimized Cloud ETL Pipelines for Regulated Data Environments

29.12.25 10:03 AM - By Gerald - Comment(s)
A technical case demonstrating how Spark-based ETL pipelines were optimized for cost, compliance, and reliability in regulated cloud environments using Azure Databricks and enterprise schedulers.

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