You’ve seen what Databricks can do. Here’s why running it on Azure unlocks a completely different experience. We’ve been backing Databricks for a while now. Our customers have used it on AWS to build lakehouses, run ML pipelines, and unify analytics at serious scale - and the platform has delivered. The technology isn’t in question. But Databricks on Azure isn’t just the same product in a different cloud. The partnership between Microsoft and Databricks goes deeper than hosting. It’s a...

Why This Pipeline Needed to Exist Most teams now hit a common wall: they need production‑like data, but real tables are locked behind privacy rules, legal reviews, or pure operational friction. Synthetic data promises a way out—but only if it behaves like the real thing, not just “passes the schema.” The project goal was clear and unforgiving: build a synthetic data pipeline that can plug into any PostgreSQL database with zero code changes, and still maintain close to 90% fidelity to the...

In the age of big data, organizations are swimming in vast oceans of information. While this data holds immense potential, its true value...