For years, enterprise data architecture has followed a familiar pattern.An application writes customer orders, account updates, inventory changes, or transactions into an operational database.Then data engineering takes over.We capture changes throug...
The OLTP architecture your agentic systems actually need, and how it compares to Supabase, Azure PostgreSQL, and Cosmos DBEarlier this year, Nikita Shamgunov — the engineer leading Databricks Lakebase — published a number that reframed my entire arch...
Hi all,sharing an article I wrote on Lakebase CDF — a feature that replaces the whole Debezium + staging pipeline setup with a single toggle. Walks through how it works, getting it running, and a pattern for surviving schema changes without breaking ...
I recently wrote about a field sales platform built on Databricks using Lakeflow, Lakebase, Unity Catalog, Mosaic AI, and Databricks Apps.The main idea is using Lakebase and Lakehouse Sync to support operational workflows and analytics in one Databri...
