Celebrate Data and AI Summit with us at the Virtual Learning Festival! Mark your calendars: June 11 - July 2, 2025! In honor of our Annual Data and AI Summit, we’re offering an exciting opportunity to upskill in data engineering, data analysis, m...
Be part of a global movement! Connect with 22,000 data enthusiasts at 700+ sessions, keynotes, and hands-on training at this year’s Data + AI Summit. Whether you’re into data intelligence, governance, AI, or data warehousing, this is your chance to l...
Flash Sale — use promo code: TRNGTM0Q to get 50% off training. Courses are now just $212.50 each. Act now – the offer is valid through May 23. This year, Databricks Training and Certification returns to the Data + AI Summit in San Francisco from June...
Today we’re announcing the launch of Data Intelligence for Marketing, combining the Databricks Data Intelligence Platform with out-of-the-box integrations to an ecosystem of leading marketing solution providers. Here, teams can bring customer and cam...
Liquid Clustering is an innovative data management technique that significantly simplifies your data layout-related decisions. You only have to choose clustering keys based on query access patterns. Thousands of customers have benefited from better q...
Over the past several months, we’ve made DLT pipelines faster, more intelligent, and easier to manage at scale. DLT now delivers a streamlined, high-performance foundation for building and operating reliable data pipelines at any scale. First, we’re ...
Introduction The automotive industry is undergoing a data-driven transformation, using vast volumes of geospatial, telematics, and sensor data to power AI innovation. As vehicles, infrastructure, and ...
Introduction Multimodal AI models can process multiple types of data simultaneously, such as images, audio and text. This capability enables more intuitive interactions with AI systems like chatbots a...
Introduction Every data warehousing project once defined and deemed necessary contains three primary tasks: Ingest data from source.Populate and transform data for reportingLeverage Slowly Changing ...
1. The Role of Dependencies in MLOps2. Selecting the Optimal Cluster Type3. Shift Toward Integrated Platform-Native MLOps4. Platform-Native Approaches4.1. Cluster-Scoped Library Management4.2. Efficie...