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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.

Featured

May 4, 2026

Watermark-Based Incremental Ingestion (Lakeflow Connect query-based capture)

May 4, 2026

Apr 29, 2026

From Informatica to Databricks: What Actually Works in Production

Apr 29, 2026

Apr 17, 2026

Enforcing Enterprise Naming Conventions in Databricks: The Agentic Way

Apr 17, 2026

Explore More Content

Nicanor Medina 3/24/26 Nicanor Medina 3/24/26

Databricks Lakewatch: The Future of Agentic SIEM

Databricks Lakewatch replaces the traditional SIEM model with an Open Security Lakehouse — storing 100% of telemetry in open formats at up to 80% lower TCO. AI agents reason across years of unified data to detect and respond at machine speed, closing the visibility gap that legacy SIEMs were structurally forced to create. Early customers include Adobe and Dropbox, with broader availability following Private Preview.

Hubert Dudek 1/20/26 Hubert Dudek 1/20/26

95% of GenAI projects fail. How to become part of the 5%

MIT reports 95% of GenAI investments produce zero returns. Learn the 5 failure modes keeping AI projects stuck in pilot limbo and how to ship production AI.

Nicanor Medina 6/16/25 Nicanor Medina 6/16/25

Data Intelligence for All: 9 Ways Databricks Just Redefined the Future of Data

Discover how Databricks' 9 major announcements at Summit 2025 are democratizing AI with Agent Bricks, Lakebase, free edition, and more game-changing innovations.