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Microsoft Fabric Updates Blog

  1. Oppdateringer
  2. april 2024

Microsoft’s vision of an open data lake ecosystem: Open lakes, not walled gardens

In today’s data-driven world, enterprise data estates contain many data sources for a variety of reasons, including differences in type of usage (operational vs. analytic), differences in ownership, and the presence of legacy infrastructure that is part of a corporate merger or acquisition. In addition, enterprises constantly acquire and refresh data from external sources. For … Continue reading “Microsoft’s vision of an open data lake ecosystem: Open lakes, not walled gardens”

Microsoft Fabric April 2024 Update

Welcome to the April 2024 update! This month, you’ll find many great new updates, previews, and improvements. From Shortcuts to Google Cloud Storage and S3 compatible data sources in preview, Optimistic Job Admission for Fabric Spark, and New KQL Queryset Command Bar, that’s just a glimpse into this month’s update. There’s much more to explore! … Continue reading “Microsoft Fabric April 2024 Update”

Fabric Change the Game: Embracing Azure Cosmos DB for NoSQL

In this new post of our ongoing series, we’ll explore setting up Azure Cosmos DB for NoSQL, leveraging the Vector Search capabilities of AI Search Services through Microsoft Fabric’s Lakehouse features. Additionally, we’ll explore the integration of Cosmos DB Mirror, highlighting the seamless integration with Microsoft Fabric. It’s important to note that this approach harnesses … Continue reading “Fabric Change the Game: Embracing Azure Cosmos DB for NoSQL”

Introducing Code-First AutoML and Hyperparameter Tuning: Now in Public Preview for Fabric Data Science

At the recent Fabric Conference, we announced that both code-first automated machine learning (AutoML) and hyperparameter tuning are now in Public Preview, a key step in making machine learning more complete and widely accessible in the Fabric Data Science. Our system seamlessly integrates the open-source Fast Library for Automated Machine Learning & Tuning (FLAML), offering … Continue reading “Introducing Code-First AutoML and Hyperparameter Tuning: Now in Public Preview for Fabric Data Science”

Introducing Optimistic Job Admission for Fabric Spark

We are excited to announce a new feature which has been a long ask from Synapse Spark customers, Optimistic Job Admission for Spark in Microsoft Fabric.This feature brings in more flexibility to optimize for concurrency usage (in some cases ~12X increase) and prevents job starvation. This job admission approach aims to reduce the frequency of … Continue reading “Introducing Optimistic Job Admission for Fabric Spark”