TodoBI - Business Intelligence, Big Data, ML y AI TodoBI - Business Intelligence, Big Data, ML y AI

Novedades de Microsoft Fabric

馃殌 Atenci贸n!! Se acaban de anunciar las 饾椈饾椉饾槂饾棽饾棻饾棶饾棻饾棽饾榾 饾棻饾棽 饾棤饾椂饾棸饾椏饾椉饾榾饾椉饾棾饾榿 饾棛饾棶饾棷饾椏饾椂饾棸 饾棽饾椈 饾椆饾棶 饾棛饾棶饾棷饾棖饾椉饾椈 饾棖饾椉饾椇饾椇饾槀饾椈饾椂饾榿饾槅 饾棖饾椉饾椈饾棾饾棽饾椏饾棽饾椈饾棸饾棽 饾煯饾煬饾煯饾煴. Vaya lista tan interesante!!

饾棥饾棦饾棭饾棙饾棗饾棓饾棗饾棙饾棪: https://lnkd.in/dinigaeh

馃攷 Oracle and BigQuery mirroring (Public Preview)

馃攷 Shortcut transformations - parquet to Delta and JSON to Delta

馃攷 New OneLake Table API

馃攷 OneLake Diagnostics GA

馃攷 OneLake Catalog Secure tab

馃攷 Power BI Web Modelling GA

馃攷 Copilot for DAX Query View GA

馃攷 Button Slicer GA

馃攷 Copilot in Power BI Apps (Public Preview)

馃攷 Map item in Fabric (Public Preview)

馃攷 GA of ESRI geospatial libraries for Fabric Spark

馃攷 GA of bi-directional OneLake integration with Snowflake

馃攷 Fabric CLI is now Open Source

馃攷 Fabric MCP for developers (Open Source)

馃攷 Fabric Extensibility Toolkit (Public Preview)

馃攷 CI/CD support for 100% Fabric items

馃攷 Connections in notebooks (generate code for connections)

馃攷 Multiple lakehouses attached to a notebook

馃攷 Tabs experience (multi-tasking, colored per workspace)

馃攷 Parametrizable shortcuts (variable library)

馃攷 Ability to have multiple workspaces open in a single explorer view

馃攷 Fabric Environments GA (with API)

馃攷 Fabric Runtime 2.0 (Spark 4.0)

馃攷 Incremental refresh for MLVs

馃攷 AI functions in Data Wrangler

馃攷 Warehouse Migration Assistant GA

馃攷 Graphs with GQL in Fabric (Public Preview)

馃攷 Eventhouse Endpoint (Public Preview)

馃攷 Real-Time Anomaly Detector (Public Preview)

馃攷 Eventhouse CMK (Public Preview)

馃攷 Activator actions (Public Preview)

馃攷 Modern Query Evaluator and parallel execution for Dataflows Gen2

馃攷 Pricing improvements to Dataflows Gen2 (90% cost reduction for queries taking more than 10 mins)

馃攷New data destinations for Dataflows Gen2 (e.g. Snowflake)

Lista completa de charlas: https://lnkd.in/dF5dzpxn

El a帽o que viene en Barcelona: https://lnkd.in/denAvKED

Gracias por el resumen de Pawel Potasinski