Workflows
Recent items mentioning Workflows across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Recent discussions highlight the ongoing comparison between Databricks Workflows and other orchestration tools, specifically Azure Data Factory 1. Databricks Workflows also received a mention in the dbt May 2026 shipment roundup, detailing product changes relevant to Databricks workflows 3.
Generated daily from the 3 most recent items mentioning Workflows. Click any [N] to jump to the source.
ADF vs Databricks Workflows — When to Use Which
What's shipped in dbt — May 2026
May 2026 brings a roundup of dbt shipments since January, covering agents, Fusion, security, developer experience, dbt Core, and more. This post details all the product changes relevant to your Databricks workflows.
LLM Vs AI: A Practical Guide to Differences, Use Cases, and Tools
LLMs are a subset of AI, and this guide clarifies their practical differences, use cases, and tools. Understand how LLMs fit into the broader AI landscape and what that means for your Databricks workflows.
TutorialsDatabricks End-To-End Project | Zero-To-Expert | Streaming, AI, Lakeflow, Unity Catalog, AI/BI
This video demonstrates building an end-to-end restaurant analytics platform on Databricks, covering streaming and batch data ingestion, AI-powered sentiment analysis, and dashboard creation. It teaches how to use Unity Catalog, Lake Flow Connect for CDC, Spark declarative pipelines for real-time data from Event Hub, and how to construct a medallion architecture with fact and dimension tables.
NewsFrom Days to Seconds — Reducing Query Times on Large Geospatial Datasets by 99%
This release introduces a new CLI command and documentation for migrating Delta Live Tables pipelines to Unity Catalog, including options to include or exclude specific pipelines. It also adds support for MSSQL and PostgreSQL databases to the Hive Metastore Federation feature, allowing them to be federated to a Unity Catalog.
EventsEmbracing the Future of Data Engineering: The Serverless, Real-Time Lakehouse in Action
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