Run Scala, Python and SQL workloads on shared, cost-efficient multi-user compute. We are thrilled to announce Unity Catalog Lakeguard, which allows you to run Apache Spark™ workloads in SQL, Python, and Scala with full data governance on the Databric...
Get started with Databricks Asset Bundles (DABs) today! Simplify project management, versioning, testing, and deployment for your data and AI projects on the Databricks Platform. Embrace software engineering best practices with DABs—source control, c...
For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer expires on May 3, 2024. Register today and add training. Read more here!
The Big Book of Generative AI brings together best practices and know-how for building production-quality GenAI applications. You’ll find technical content and code samples that will help you do everything from deploying your first application to bui...
Proposed by Databricks in 2020, the Lakehouse architecture has increasingly been embraced by the industry in the past years. Databricks has since applied Generative AI and evolved the Databricks Lakeh...
In this blog, we will look at the migration from AWS Glue Data Catalog to Unity Catalog. We cover how to plan this migration as a step-by-step approach and emphasize meticulous planning, phased migrat...
Almost anyone who uses Spark or Databricks is aware of the Spark UI, and we all know that it’s a super powerful tool in the right hands. It can reveal what’s going wrong and any inefficiencies in you...
Introduction Cost optimisation remains a pivotal challenge for customers dealing with processing large volumes of data and machine learning model training at scale in the cloud. Spot instances have re...