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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
Speaking the Language of Finance: Why Our Databricks BrickBuilder Specialization Matters
Earning a Databricks BrickBuilder Specialization in Financial Services requires more than technical credentials — it demands domain knowledge built across banks, insurers, and investment firms operating under strict audit and regulatory requirements. SunnyData's specialization reflects years of production-ready implementations where data errors have real consequences. For financial services leaders evaluating data partners, it's a signal worth understanding beneath the surface.
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.