Power BI
Recent items mentioning Power BI across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Databricks continues to enhance its integration with Power BI, now offering automatic query tagging for Power BI in SQL warehouses to enable cost attribution 7. New capabilities include the Azure Databricks Excel Add-in 2 and a semantic layer on Unity Catalog metric views that supports both existing BI tools like Power BI and new "Talk to Data" experiences 3. Community discussions highlight building automated Power BI refresh pipelines with Databricks 5 and leveraging metric views with Power BI and Tabular Editor 1.
Generated daily from the 10 most recent items mentioning Power BI. Click any [N] to jump to the source.
Metric Views with Power BI and Tabular Editor (Part 3 of 3)
Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks
Azure Databricks now offers new capabilities for unifying data and governance in the agentic era, including the industry's first true LTAP architecture, serverless Postgres database branching, and millisecond-level response times via Lakehouse//RT. These updates also bring Genie for Microsoft Teams and M365 Copilot, the new Azure Databricks Excel Add-in, and Azure Databricks CustomerLake, a lakehouse-embedded Agentic CDP.
Unlocking semantics for AI: How Mercedes-Benz Korea built trusted “Talk to Data” at scale
Mercedes-Benz Korea built a trusted "Talk to Data" solution at scale by making 500+ KPI definitions available in an AI-ready semantic layer on Unity Catalog metric views, accelerating the transition with an automated DAX-to-Metric-View transpiler. This governed semantic layer supports both existing BI and new "Talk to Data" experiences, with Genie and Agent Bricks providing consistent answers and shaping a playbook for persona-based AI agents across markets.
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[PARTNER BLOG] Building a Fully Automated Power BI Refresh Pipeline with Databricks
Data Science vs Data Analytics: Compare Careers, Skills, and Degrees
Data analytics explains what already happened using SQL and Power BI, while data science builds ML models to automate future decisions. Choosing between them depends on your appetite for technical depth, comfort with unstructured data, and preference for stakeholder communication vs. system deployment.
Query Tags: The Context Your Warehouse Queries Have Been Missing
Databricks SQL warehouses now support query tags, enabling cost attribution by team or project and automatic tagging for dbt, PowerBI, and Tableau. Tag queries from any source, including the SQL Editor, Notebooks, Dashboards, APIs, connectors, and drivers.
Power BI - DBX Unity catalog Lineage Syncer
NewsDatabricks News: watermark-based incremental ingestion, MCP in AI gateway, Genie, Vector Search
Databricks now offers watermark-based incremental ingestion from SQL databases without change data feed, allowing for efficient data updates and soft deletion handling. The AI Gateway supports custom MCP servers, enabling integration with external APIs like GitHub for enhanced AI application development.
NewsRethinking Wireframing - Building Power BI Reports with Agents
The video demonstrates an AI-powered agent that generates Power BI reports from natural language prompts and user context, significantly accelerating the initial report design and build process. This tool aims to reduce the traditional lengthy wireframing and iteration cycles by quickly producing functional, multi-page Power BI reports.
NewsSynchronising Power BI to Metric Views with Tabular Editor's Semantic Bridge
Tabular Editor's new "Semantic Bridge" feature, launching in January, enables automatic synchronization of semantic models between Databricks Unity Catalog metric views and Power BI. This tool translates structural components and common SQL snippets into DAX, allowing users to maintain consistent business logic across different platforms.
NewsReal-Time Streaming Solution for Call Center Analytics: Business Challenges and Technical Enablement
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