Welcome to the August 2024 Update. Here are a few, select highlights of the many we have for Fabric. V-Order behavior of Fabric Warehouses allows you to manage the V-Order behavior at the warehouse level. Monitor ML Experiments from the Monitor Hub allows you to integrate experiment items into Monitoring Hub with this new feature. … Continue reading “Microsoft Fabric August 2024 Update”
We are excited to announce the support of Fabric Git integration and deployment pipelines for data warehouse in Microsoft Fabric! Warehouse in Microsoft Fabric, built on the evolution of SQL server, already offers local CI/CD experiences today. This blog will focus on how you can take advantage of CI/CD capabilities directly in the web, as … Continue reading “CI/CD with Warehouses in Microsoft Fabric”
Welcome to the June 2024 update. Here are a few, select highlights of the many we have for Fabric. Fabric Spark connector for Fabric Data Warehouse in Spark runtime is now available. Query activity, a one-stop view of your running and completed SQL queries for workspace admins is being announced. You can now run queries … Continue reading “Microsoft Fabric June 2024 Update”
We are excited to share guidance for how you can use Microsoft Fabric to turn your data into knowledge for Generative AI applications. This guide will walk you through implementing a RAG (Retrieval Augmented Generation) system in Microsoft Fabric using Azure OpenAI and Azure AI Search. By the end, you’ll be more familiar with how to … Continue reading “Building Custom AI Applications with Microsoft Fabric: Implementing Retrieval Augmented Generation for Enhanced Language Models”
We are excited to announce the Capacity Pools for Data Engineering and Data Science in Microsoft Fabric. As part of the Data Engineering and Science settings in the Admin portal, capacity administrators can create custom pools based on their workload requirements. Optimizing Cloud Spend and Managing Compute Resources In enterprise environments, managing cloud spending and … Continue reading “Introducing Capacity Pools for Data Engineering and Data Science in Microsoft Fabric”
