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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
Unity Catalog to Azure Key Vault: No more dbutils.secrets()
Learn how to securely connect Azure Databricks to Key Vault using Unity Catalog Service Credentials for enterprise-grade secret management and governance.
Seamless Data Integration: SAP to Databricks
Learn how to integrate SAP data into Databricks with this comprehensive blog. Discover the essential components of the SAP ecosystem, including SAP HANA, S/4HANA, and BTP, and explore proven integration methods using SparkJDBC and Azure Data Factory. Perfect for data engineers and architects looking to combine SAP's enterprise management capabilities with Databricks' advanced analytics.
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.
Databricks Myths vs. My Own Personal Experience
Transitioning to Databricks reduced costs by $19K/month and streamlined data operations. Learn how Databricks' unified platform simplifies data engineering and boosts efficiency in our latest blog.