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Most teams that move to Databricks get the hard part right. They migrate the processing engine, rebuild the transformation logic, and stand up Unity Catalog. Then they leave Azure Data Factory running in the background: connected to everything, owned by nobody, and quietly accumulating cost and complexity. In this entry, that’s the gap we address.
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ML & AI
The Chaos of Data: How Fragmentation is Stalling Innovation
Discover how data fragmentation across multiple platforms creates costly silos and slows decision-making. Learn why Databricks offers the unified solution modern enterprises need.
How to Migrate Databricks from GCP to Azure or AWS
This blog explores the migration process of Databricks from one cloud provider (GCP) to another (Azure or AWS). It emphasizes using tools like Terraform for seamless migration, best practices for handling resources, data, and configurations, and discusses strategic reasons for switching cloud platforms.