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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
Query Your Lakehouse In Under 1 ms.: From OLAP to OLTP
Databricks Lakehouse excels at analytical workloads but struggles with single-row lookups that customer-facing applications demand. This blog shows how to solve the OLAP vs OLTP dilemma by adding PostgreSQL-based OLTP capabilities to your existing Lakehouse architecture
PostgreSQL to Databricks Migration: A Simpler Path to the Lakehouse
Discover a complete guide to PostgreSQL to Databricks migration, including analysis, design, development, and deployment phases. Learn how to transform stored procedures, manage data transfer, and leverage the new SQL Scripting feature for a simplified lakehouse journey.