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Microsoft Fabric Updates Blog

  1. Updates
  2. Jenny Jiang

Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks

We’ve made a major enhancement to the Notebook Integration with Fabric User Data Functions (UDFs)—you can now use Pandas DataFrames and Series as input and output types, powered by native integration with Apache Arrow! This enhancement brings higher performance, improved efficiency, and better scalability to your Fabric Notebooks—enabling seamless function reuse for large-scale data processing … Continue reading “Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks”

Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics

Fabric Apache Spark Diagnostic Emitter for Logs and Metrics is now in public preview. This new feature allows Apache Spark users to collect Spark logs, job events, and metrics from their Spark applications and send them to various destinations, including Azure Event Hubs, Azure Storage, and Azure Log Analytics. It provides robust support for monitoring … Continue reading “Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics”

Fabric Spark Autotune and Run Series Job Analysis

We are thrilled to announce the public preview of Run Series Analysis, in conjunction with our recent announcement of the Autotune feature at the Fab conference. These two features are designed to help you gain insights into Spark application executions across your recurring runs of your Notebook and Spark job definitions, facilitating performance tuning and … Continue reading “Fabric Spark Autotune and Run Series Job Analysis”