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Sending data to Synapse Real-Time Analytics in Fabric from Apache Kafka Ecosystems using Java

Introduction This quick start is based on the official Azure Event Hubs for Kafka example, adapted to work with Microsoft Fabric. In this blog we will show you how to send data from Kafka to Synapse Real-time Analytics in Fabric. Get the sample source code from GitHub fabric-kafka-sample You will use a Fabric Eventstream to … Continue reading “Sending data to Synapse Real-Time Analytics in Fabric from Apache Kafka Ecosystems using Java”

SQL Projects support for Warehouse in Microsoft Fabric

We are excited to announce the support of Microsoft Fabric Data Warehouse in the SQL Database Projects extension available inside of Azure Data Studio and Visual Studio Code! SQL Database Projects is an extension to design, edit, and publish schemas for SQL databases from a source-controlled environment. A SQL project is a local representation of … Continue reading “SQL Projects support for Warehouse in Microsoft Fabric”

Real-Time Data Sharing in Microsoft Fabric 

In the ever-evolving landscape of data management and collaboration, the demand for seamless and secure data sharing solutions has never been greater. There are many traditional ways to share data, such as through file shares, FTP, e-mail, and APIs but most of these methods require both parties to build and maintain a data pipeline that … Continue reading “Real-Time Data Sharing in Microsoft Fabric “

Microsoft Fabric August 2023 update

Welcome to the August 2023 update. We have lots of features this month including the new layout switcher for Power BI, SSD caching in Synapse Data Warehouse, in-line Python support for KQL in Synapse Real-time Analytics, lookup activity for Data Factory Dataflows, and much more. Continue reading for more details on our new features! Contents … Continue reading “Microsoft Fabric August 2023 update”

Introducing High Concurrency Mode in Notebooks for Data Engineering and Data Science workloads in Microsoft Fabric

We are excited to announce a new high concurrency mode in Fabric for Data Engineering and Data Science. This allows users to share Spark compute across multiple notebooks within a workspace which means that you can run multiple Spark notebooks simultaneously on the same Spark session without compromising performance or security when paying for a … Continue reading “Introducing High Concurrency Mode in Notebooks for Data Engineering and Data Science workloads in Microsoft Fabric”