Unlock the Power of Real-Time Intelligence in Fabric: Connect and stream events effortlessly with the Get events experience (preview)! | Microsoft Fabric Blog | Microsoft Fabric
What is Get events Say hello to effortless data connectivity and streaming, regardless of whether your data originates from new or established sources, streams, or events. With the new Get events experience you are unlocking connectivity and streaming prowess in your Fabric Real-Time Intelligence journey. Leveraging the Get events tool extends beyond mere data ingestion; it …
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/unlock-the-power-of-real-time-intelligence-in-fabric-connect-and-stream-events-effortlessly-with-the-get-events-experience/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Unlock the Power of Real-Time Intelligence in Fabric: Connect and stream events effortlessly with the Get events experience (preview)!&#8221;</span></a>
Using APIs with Fabric Real-Time Intelligence: Eventhouse and KQL DB | Microsoft Fabric Blog | Microsoft Fabric
Learn how to utilize APIs to build your Fabric KQL solutions. We&#8217;ll show you how to create items in Fabric and work within the data plane of Eventhouse and KQL Databa
Exciting News: Eventhouse is Now Generally Available! | Microsoft Fabric Blog | Microsoft Fabric
🎉 Exciting News: Eventhouse is Now Generally Available! 🎉 We&#8217;re thrilled to announce that Eventhouse, our innovative database workspace designed to manage and store event-based data, is now officially available for general use. Eventhouse is a cutting-edge database workspace meticulously crafted to manage and store event-based data. Engineered to handle data in motion, Eventhouse seamlessly &hellip;
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Fabric CI/CD announcements- supporting new items and much more! | Microsoft Fabric Blog | Microsoft Fabric
We are happy to share that new items are available to use in CI/CD. You can also build a full E2E automated CI/CD with Fabric APIs. Click to read more, and learn about additional announcements.
Announcing the public preview of task flows in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Leverage the power of task flows to design and build your data solutions and manage workspace items in Microsoft Fabric. We&#8217;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 &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/announcing-the-public-preview-of-task-flows-in-microsoft-fabric/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Announcing the public preview of task flows in Microsoft Fabric&#8221;</span></a>
Edit the Destination Table Column Type when Copying Data to Lakehouse Table, Data Warehouse and SQL Data Stores  | Microsoft Fabric Blog | Microsoft Fabric
To improve the flexibility for copying data in Fabric Data Factory, we are excited to announce that now you can edit destination table column types when copying data!  Supported scenarios This new feature allows you to edit the data type of the column for a new or auto-created destination table, if your data destination is &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/edit-the-destination-table-column-type-when-copying-data-to-lakehouse-table-data-warehouse-and-sql-data-stores/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Edit the Destination Table Column Type when Copying Data to Lakehouse Table, Data Warehouse and SQL Data Stores &#8220;</span></a>
Microsoft Fabric Connections Demystified - BI Insight
Managing data connections in Microsoft Fabric can be challenging if you’re unsure where to start. This blog post and its detailed YouTube video will help you find, manage, and share the existing data connections, making your workflow more efficient and streamlined. A meaningful use case for this feature is to reuse the existing connections leading … Continue reading Microsoft Fabric Connections Demystified
Understanding the Costs of Fabric DW Queries: A Deep Dive
Welcome to our deep dive into Microsoft Fabric! If you’re navigating the complexities of Microsoft Fabric, one critical aspect you’ll want to master is understanding the cost of each ac…
Announcing: Column-Level &amp; Row-Level Security for Fabric Warehouse &amp; SQL Endpoint | Microsoft Fabric Blog | Microsoft Fabric
We are excited to announce the availability of Column-Level and Row-Level Security in Fabric Warehouse &amp; SQL Endpoint in Public preview in all regions! In today&#8217;s data-driven world, organizations are constantly collecting vast amounts of sensitive information that fuels their operations, decision-making processes, and competitive edge. While data accessibility is essential for business success, ensuring &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/announcing-column-level-row-level-security-for-fabric-warehouse-sql-endpoint/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Announcing: Column-Level &amp; Row-Level Security for Fabric Warehouse &amp; SQL Endpoint&#8221;</span></a>
Get row counts of all tables in a Microsoft Fabric warehouse
I loaded some built-in sample data from Wide World Importers into a Fabric warehouse. You get an option to load sample data when you create a new pipeline in Fabric.
It says the data is 352MB in size, but after loading the data I was curious about how many rows were actually in that sample da
Data Factory Spotlight: Semantic model refresh activity  | Microsoft Fabric Blog | Microsoft Fabric
Overview  Data Factory empowers you to ingest, prepare and transform data across your data estate with a modern data integration experience. Whether you are a citizen or professional developer, Data Factory is your one-stop-shop to move or transform data. It offers you intelligent transformations and a rich set of activities from hundreds of cloud and &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/data-factory-spotlight-semantic-model-refresh-activity/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Data Factory Spotlight: Semantic model refresh activity &#8220;</span></a>
Microsoft Fabric April 2024 Update | Microsoft Fabric Blog | Microsoft Fabric
Welcome to the April 2024 update! This month, you&#8217;ll find many great new updates, previews, and improvements. From Shortcuts to Google Cloud Storage and S3 compatible data sources in preview, Optimistic Job Admission for Fabric Spark, and New KQL Queryset Command Bar, that&#8217;s just a glimpse into this month&#8217;s update. There&#8217;s much more to explore! &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/microsoft-fabric-april-2024-update/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Microsoft Fabric April 2024 Update&#8221;</span></a>
Deployment patterns for Microsoft Fabric - Azure Architecture Center
Learn about common deployment scenarios for Microsoft Fabric.
Different deployment patterns offer varying flexibility and emphasis in the levels of a deployment.
Use Fabric domains for delegation, to manage multiple workspaces that might belong to the same business unit, or when data that belongs to a business domain spans more than one workspace. You can set some tenant-level settings for managing and governing data at the domain level and use domain-specific configuration for those settings.
New Easy-to-Use Expression Builder Experience for Fabric Data Factory Pipelines | Microsoft Fabric Blog | Microsoft Fabric
We are always working on making the experience of building low-code data pipelines as easy as possible for our customers. Next week, we are going to roll-out a new experience in the Script activity in Fabric Data Factory pipelines to make it even easier to build expressions using the pipeline expression language.
Microsoft Fabric Lifecycle Management &#8211; Getting started with Git Integration and Deployment Pipelines | Microsoft Fabric Blog | Microsoft Fabric
Lifecycle Management is a topic that is crucial for any organization to establish, and with Microsoft Fabric, it has never been easier to embark on this journey. In this article, we will delve into the essentials of enabling it through a demo scenario, but before we dive in, let’s take a moment to explore what &hellip;
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Announcing the Public Preview of Mirroring in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Mirroring is now available to customers in Public Preview. You can now seamlessly bring your databases into OneLake in Microsoft Fabric, enabling seamless zero-ETL, near real-time insights on your data – and unlocking warehousing, BI, AI, and more. 
Fast copy in Dataflows Gen2 | Microsoft Fabric Blog | Microsoft Fabric
Dataflows help with ingesting and transforming data. With the introduction of dataflow scale-out with the SQL DW compute, we are able to transform your data at scale. However, to do this at scale, your data needs to be ingested first. With the introduction of Fast copy, you can ingest terabytes of data with the easy &hellip;
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Microsoft Fabric Co-Existing as Semantic Layer with Power BI & Snowflake
Customers have modernized its Data Warehouse by hosting it on Snowflake (in AWS) and has chosen Power BI (in Azure) as its single reporting/analytics platform...
Announcing the Public Preview of Mirroring in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Mirroring is now available to customers in Public Preview. You can now seamlessly bring your databases into OneLake in Microsoft Fabric, enabling seamless zero-ETL, near real-time insights on your data – and unlocking warehousing, BI, AI, and more. 
Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications | Microsoft Fabric Blog | Microsoft Fabric
Microsoft Fabric&#8217;s Lakehouse helps us better unified management of enterprise-level data environments. In the process of transforming to AI, we cannot do without the assistance of these enterprise data. In my previous blog, I mentioned how to build RAG applications based on data in the Microsoft Fabric environment. In this post, I will introduce how &hellip;
<p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/using-microsoft-fabrics-lakehouse-data-and-prompt-flow-in-azure-machine-learning-service-to-create-rag-applications/" class="more-link">Continue reading<span class="screen-reader-text"> &#8220;Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications&#8221;</span></a>