Databricks launches AI agent for legacy SQL migration
Databricks is expanding its Lakebridge toolkit by introducing an agentic code conversion feature designed to help organizations migrate from legacy da…
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Databricks Workflows vs Airflow vs Dagster: Picking an Orchestrator
Every data team eventually asks the same question: what runs our pipelines, on what schedule, with what retry logic, and who gets paged when it fails.…
One Copy, Two Engines: Architecting a Governed Lakehouse Across Fabric and Azure Databricks
For most of the last decade, the honest answer to "should we standardize on Databricks or on the Microsoft data platform?" was: pick one and live with…
[Databricks on AWS #2] RBAC on Databricks: Function-Role Groups, Workspace Assignment, and Why USER/ADMIN Isn't the Whole Story
📚 Series: Databricks on AWS (Part 2) Building a Databricks AI Platform on AWS RBAC with Function-Role Groups ← you are here Compute Governance: Pools,…
Real-Time AI Feature Engineering with Spark Structured Streaming and Databricks Feature Store
Building point-in-time correct, production-grade feature pipelines — from raw Kafka events to online feature serving in milliseconds, using Spark Stru…