Get Started Resources
Explore essential resources to kickstart your journey with Databricks. Access tutorials, guides, and...
Explore essential resources to kickstart your journey with Databricks. Access tutorials, guides, and...
Stay up-to-date with the latest announcements from Databricks. Learn about product updates, new feat...
Dive into a collaborative space where members like YOU can exchange knowledge, tips, and best practi...
Community-produced videos to help you leverage Databricks in your Data & AI journey. Tune in to expl...
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Stay informed about the latest updates and enhancements to the Databricks platform. Learn about new ...
Find answers to common questions and troubleshoot issues with Databricks support FAQs. Access helpfu...
Explore in-depth articles, tutorials, and insights on data analytics and machine learning in the Dat...
If you are using a plan to deploy DABS, starting from 0.282, plan_version has been moved to 2. A new plan can have a different structure. Please keep in mind that inconsistencies in DABS versions can break your CI/CD. #databricks I wrote an article a...
Are you ready to dive into the world of data engineering and analytics? Join us for Databricks Get Started Days, a half-day virtual event designed to accelerate your learning and equip you with essential Databricks skills! Here’s what makes Get Start...
Databricks just released a button to fix all legacy issues in your workspace. Actually, they didn't. But the fact that you felt a momentary surge of hope—or a cynical eye-roll—proves exactly where you are. You’re the veteran. You’re the one who remem...
@Oleksandra - Thanks for compiling the list of these changes. We have lived it long enough of cluster management and perfornance tuning in past. The mindset shift has to be towards delivering value rather mere plumbing and configuring and Databricks ...
It is finally possible to deploy dashboards using DABS and change the catalog and schema. It is solving the biggest problem with bringing the dashboard to production. New parameters for the dashboard resource were added: dataset_catalog and dataset...
@Hubert-Dudek - This was really a much-awaited feature. Eventually DAB must cover all developed assets which requires promotion to higher environment to cover the CICD seamlessly.
Learn Application Evaluation and Governance in 120 minutes Level up skills in Generative AI Application Evaluation and Governance with our latest Academy Learning Series course. This self-paced e-learning is designed to help you move from “it works” ...
@Om_Jha - This is a great intitative and a simple way to spread the news on new courses. Keep it up.
Managed Workspace in Azure Databricks Azure Databricks, a first-party service on Microsoft Azure, seamlessly integrates with other Azure services and is easily deployed through the Azure portal with a few clicks. This simplified deployment wi...
@carobitap, Yes, if you are sharing a VNet across multiple workspaces, you should use separate public and private subnets for each one. Each Databricks workspace requires two dedicated subnets (that cannot be shared) within a VNet.
Building a Research Paper Curator for Knowledge Assistants Document-heavy workflows such as research analysis, contract review, and support ticket processing, are a natural fit for AI agents. Building them from scratch means orchestrating document pa...
PostgreSQL to Databricks made simpler with Lakeflow Connect (Public Preview).Databricks has introduced a PostgreSQL connector in Lakeflow Connect (Public Preview), enabling ingestion of PostgreSQL data into the Lakehouse using logical replication.Ins...
@Yogesh_Verma_ do you have timeline for when this will be Generally Available?
Databricks MVP Conner Schiissler explores the new ai_parse_document() function, which replaces complex OCR integrations with a simple SQL command to extract structured markdown from unstructured files. Read here.
The Gap in Agent Development Databricks has made it straightforward to deploy AI agents—Model Serving endpoints, automatic MLflow tracing, Unity Catalog integration. But there's a gap between "deployed" and "production-ready": You have: Agent code ru...
We've all been there. You need to loop through a list of tables, apply some transformation, handle a few edge cases, and maybe catch an error or two. In most data platforms, that means switching to Python or Scala—even if 90% of your logic is just SQ...
Correction: Preview is available on Databricks Runtime 16.3 and above.
Pharma companies face a major challenge—capturing and analyzing adverse drug events buried in unstructured text like emails, call transcripts, and social media posts. Our Adverse Drug Event Detection Solution Accelerator makes it simple to monitor dr...
Another strong week of engagement, learning, and problem-solving across the community.Let’s take a look at the highlights Standout Contributors These members stepped in with sharp insights, thoughtful follow-ups, and the kind of curiosity that ke...
Ströer, one of Germany’s leading advertising companies, unified fragmented campaign data with the Databricks Data Intelligence Platform, achieving real-time insights, faster decisions, and massive cost savings. Key benefits: Unified fragmented data i...
As data platforms mature, the focus is no longer just scalability—it is about speed, simplicity, and cost efficiency. Engineering teams want to deliver insights faster without managing infrastructure, while organizations want predictable costs and st...
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