Explore interoperability with @michaelarmbrust
, Creator of #DeltaLake, and Ryan Blue, Co-creator of #ApacheIceberg. Choosing the right table format can impact lakehouse adoption and your data + AI strategy. See how Databricks addresses these challenges. https://
dbricks.co/4ejg3my
@databricks
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Delta Lake and Apache Iceberg interoperability for lakehouse strategy
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New AI/BI Features for Enhanced Accuracy and Trust
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Introducing two new AI/BI features to enhance accuracy & trust in your ai-generated insights!
– Benchmarks: test the accuracy of answers to frequently asked questions – Request Review: ask your Genie admin to verify response correctness Learn more https://
dbricks.co/4h6LiD9 -
Databricks Budget Policies for Serverless Compute Automation
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Now in public preview: budget policies for serverless compute! Administrators can now automate tag management on serverless resources, ensuring the right tags appear for customized cost reporting and chargebacks. https://
dbricks.co/48eptxf -
AI-Powered Data Pipelines: Building Stronger Engineering Solutions
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Join our virtual event with @Informatica to explore how real-world AI is helping data engineers build stronger, more reliable data pipelines faster. Our panel will deep dive into how data intelligence is revolutionizing data engineering. Register here
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Databricks Partners with Meta to Launch Llama 3.2 Models
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We recently partnered with Meta to launch Llama 3.2 models on Databricks!
— Databricks (@databricks) 17 octobre 2024
You can now tune them securely on your data, and easily integrate them into your GenAI applications with Mosaic AI Gateway and Agent Framework:https://t.co/tW0YmCotRy pic.twitter.com/mmMiQVnsJAWe recently partnered with Meta to launch Llama 3.2 models on Databricks! You can now tune them securely on your data, and easily integrate them into your GenAI applications with Mosaic AI Gateway and Agent Framework: https://
dbricks.co/48gmche -
AI-Optimized Data Warehouses Enhance Performance and Governance
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AI has the power to address the data warehouse’s biggest challenges – thanks to its deeper understanding of your data & how it’s used. This is data intelligence. Experts share how AI-optimized data warehouses can enhance performance, governance & more.
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Databricks Launches New SQL Editor for Data Analysis
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Introducing the new SQL editor for exploratory data analysis and data engineering.
— Databricks (@databricks) 16 octobre 2024
New features include: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, and a variety of editor productivity features. https://t.co/EiMHon96Kw pic.twitter.com/Lsa5D0bMAiIntroducing the new SQL editor for exploratory data analysis and data engineering. New features include: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, and a variety of editor productivity features. https://
dbricks.co/3YqGGjS -
Generative AI World Cup Global Hackathon for Data AI Professionals
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Data + AI professionals across the globe are invited to our Generative AI World Cup, a global hackathon where participants develop innovative #GenAI applications that solve real-world problems! Register by Oct 31
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Databricks AWS Partnership Powers Production GenAI Applications
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We’ve teamed up with @awscloud to power customized, production-quality #GenAI applications through AWS Trainium AI chips! See how Databricks + AWS allows thousands of joint customers to build, deploy and monitor high-quality, customized AI applications: https://
dbricks.co/48oIM7v -
High-Quality Data Essential for GenAI Model Success
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The best #GenAI models worldwide won’t succeed without high-quality data. That’s why data engineers are more critical than ever! Fast-track your expertise for the #GenAI era with our in-depth guide.