AI is transforming data warehousing, making complex analytics more accessible and efficient. With tools like Copilot for Data Warehouse and AI Skill, Microsoft Fabric offers two powerful, complementary resources that serve both data developers and business users. This blog explores how these tools differ, when to use each, and how they can work together to … Continue reading “Data Warehouse: Copilot & AI Skill”
The Share capability for Fabric AI Skill is now in public preview. This feature enables AI Skill creators to share their AI Skill with colleagues, allowing them to consume the AI Skill and gain valuable insights from the data. How Sharing WorksOnce you have created and validated the effectiveness of your AI Skill, you can … Continue reading “Announcing Public Preview of the “Share” Feature for Fabric AI Skill”
Guidance to Maximizing Productivity and Efficiency for your Data Engineering Workloads Data engineering teams often grapple with the complexities of planning and configuring compute resources for their data platforms. This is especially true when working with large-scale, complex datasets and demanding downstream SLAs. A one-size-fits-all approach is rarely effective, as different data layers and datasets … Continue reading “Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric”
At //Build 2024 earlier this year, we released the public preview of Copilot for Data Warehouse – Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric. In this previous announcement, you can find a deep dive of the capabilities offered as part of Copilot for … Continue reading “Copilot for Data Warehouse: Public Preview Update”
We’re excited to introduce high concurrency mode for notebooks in pipelines, bringing session sharing to one of the most popular orchestration mechanisms for enterprise data ingestion and transformation. Notebooks will now automatically be packed into an active high concurrency session without compromising performance or security, while paying for a single session. Key Benefits: Why Use … Continue reading “Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark”
