Databricks serverless compute removes the need to manage clusters across notebooks, Lakeflow Jobs, and pipelines, handling infrastructure and runtime upgrades automatically. Over the past year, it has improved performance by 80% and cost efficiency by up to 70%, while delivering
@databricks
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Databricks DevConnect 2026: Agentic Workflows and MLflow Deep Dives
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Databricks DevConnect 2026 is underway! Built for developers, DevConnect is a technical meetup focused on the tools and patterns powering production data and AI workloads. Next stops: Austin, Denver, Munich, and London. What to expect:
– Deep dives on agentic workflows, MLflow -
Building Production-Ready Data and AI Apps on Databricks
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Your guide to building data and AI apps that actually make it to production As an app developer, you shouldn't have to spend months on DevOps just to get a prototype across the finish line. This ebook shows you how to ship production-ready data and AI apps on the Databricks
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Iceberg v3 Public Preview: Unifying Data Layer Across Engines
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Iceberg v3 marks a major step forward for open table formats in unifying the data layer. With v3 now in Public Preview on Databricks, it enables: • High-performance incremental data processing • Native support for semi-structured data • Interoperability across engines and
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Databricks Data AI Summit 2026 Hands-On Training Certification
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Build practical data and AI skills with hands-on training and certification at Data + AI Summit 2026. Choose from 20+ instructor-led courses with labs on the Databricks Platform, plus onsite certification exams. Topics include AI, data engineering, Lakebase, application
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Building Production Apps with Databricks and Cursor AI
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Developers want to write code, not spend time provisioning databases. In this webinar, experts from Databricks and @cursor_ai build and deploy a production-ready app using modern frameworks, serverless Postgres, and built-in governance. You’ll see how to build from scratch,
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Enterprise AI Agents: From Prototypes to Trusted Business Solutions
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Shipping enterprise AI agents means moving from prototypes to something business users can trust and use.
— Databricks (@databricks) 8 avril 2026
Agent Bricks, Databricks Apps, and Databricks One provide a path to do that.
Build a domain-specific agent on enterprise data with built-in evaluation, deploy it as a… pic.twitter.com/KuNPDhDt7hShipping enterprise AI agents means moving from prototypes to something business users can trust and use. Agent Bricks, Databricks Apps, and Databricks One provide a path to do that. Build a domain-specific agent on enterprise data with built-in evaluation, deploy it as a
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Matei Zaharia Receives Well-Deserved AI Recognition
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This recognition is so well deserved @matei_zaharia
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ACM Prize Honors Matei Zaharia for Distributed Data Systems
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We're incredibly proud to congratulate our co-founder and CTO, @matei_zaharia
, on receiving the ACM Prize in Computing for his development of distributed data systems that have enabled large-scale machine learning, analytics, and AI. Matei's open-source contributions have -
Databricks CEO discusses enterprise AI reliability and scalability
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Databricks co-founder and CEO @alighodsi joined CNBC anchor @dee_bosa on stage at HumanX today to talk about the race toward super intelligence, where enterprises should be focused instead, and what AI needs to be reliable at scale. "There is a lot of talk about super