Lakebase is cost-efficient by design because its separated storage and compute architecture lets branching, read replicas, ...
ai_decide is a new Databricks AI Function that makes fast decisions directly on your data. It takes unstructured text and ...
Unity catalog managed tables allow you to control the placement of your data when your organization needs separate storage.
Five system table queries to track Databricks spend — by product, warehouse, and team, with anomaly detection and AI ...
See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...
Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 ...
This post walks through how we approach mobile security internally. Instead of focusing on just one product, our approach consists of four layers, each serving a specific purpose: device management, ...
Databricks and Cal Athletics announce a multi-year partnership, including the naming of Cal’s football venue as “Databricks Field at California Memorial Stadium.” The partnership marks Databricks' ...
Run models like SemIf-OpenJev directly on governed Databricks data using serverless GPUs and managed Model Serving. Query custom model endpoints from SQL or Lakeflow jobs with ai_query, returning ...
• The Genie One MCP server is now generally available, bringing trusted, data-smart insights across both structured and unstructured data from Genie into any AI agent workflow. • Grounded in Genie ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results