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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
Lakebase: The best of both worlds
Lakebase brings transactional speed to Databricks analytics. Get single-record retrieval in milliseconds plus unlimited data processing in one platform.
Why Financial Institutions Are Ditching Vendor Solutions for Databricks
How 7 Databricks accelerators are helping banks and financial institutions replace expensive vendor solutions with custom in-house data applications for AML, fraud detection, customer analytics, and compliance.
Managed Iceberg Tables
Learn when to choose Apache Iceberg over Delta tables in Databricks. Complete guide covering manifest files, CDC limitations, liquid partitioning, and table properties with practical examples.
Stop ELT Headaches: Why We Partner with Fivetran + Databricks
Discover how SunnyData overcame ELT challenges by partnering with Fivetran and Databricks, creating reliable data pipelines that eliminate late-night fixes and accelerate insights.