Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is based on advanced algorithms, SR-CNN for univariate analysis and MTAD-GAT for multivariate analysis and is being retired by October 2026. In this blog post we will lay out a migration strategy to Microsoft Fabric, allowing … Continue reading “Advanced Time Series Anomaly Detector in Fabric”
Problem Statement In the previous blog on Profiling Microsoft Fabric Spark Notebooks with Sparklens, we covered how to run Sparklens to profile and tune the performance of your spark notebooks in Microsoft Fabric. In that blog, we used a custom Sparklens JAR. The Sparklens JARs available in the Maven Central repo supports only the Spark … Continue reading “Building a Custom Sparklens JAR for Microsoft Fabric”
Use Trusted workspace access and Managed Private endpoints in Fabric with any F capacity and enjoy the benefits of secure and optimized data access and connectivity We are thrilled to share with you an update on the Fabric network security features that were announced in general availability earlier this year. Trusted workspace access, and Managed … Continue reading “Announcing the availability of Trusted workspace access and Managed private endpoints in any Fabric capacity”
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”
