Microsoft Fabric Updates Blog

Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric

We are excited to announce the public preview release of Copilot for Data Warehouse in Microsoft Fabric, a groundbreaking AI assistant designed to transform your data warehousing tasks. Data warehouse development can be daunting for SQL developers, especially under tight timelines where insights are needed “yesterday”.  Developers may spend hours writing code, building schemas, documentation, … Continue reading “Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric”

Environment is now generally available

Exciting news! The environment has officially become a generally available feature within Microsoft Fabric. What is the environment in Microsoft Fabric? The environment serves as a comprehensive container for both your hardware and software settings within Spark. Within this unified interface, you have the ability to select the desired Spark runtime, install libraries, and configure … Continue reading “Environment is now generally available”

Announcing the public preview of task flows in Microsoft Fabric

Leverage the power of task flows to design and build your data solutions and manage workspace items in Microsoft Fabric. We’re thrilled to announce that the task flows feature is now in public preview and is enabled for all existing Microsoft Fabric users. Fabric is unifying everything needed to deliver end-to-end data and analytics solutions … Continue reading “Announcing the public preview of task flows in Microsoft Fabric”

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”