Microsoft just released a new tutorial on implementing Type 2 SCD with a Dataflow: 👉🔗 https://learn.microsoft.com/en-us/fabric/data-factory/slowly-changing-dimension-type-two

Hey everyone, a friend of mine Malvik Vaghadia has just released a brand new Udemy course on Microsoft Fabric. I've reviewed the course, and it's really comprehensive, and Malvik is a great instructor with lots of experience teaching on Udemy and on his YouTube channel. Try this link for FREE access (first 100 only, first come first served): 👉🔗 EDIT: *Link Removed Because All Coupons Have Been Redeemed* You can then use this link for a heavy discount (68% discount, I believe): 👉🔗 https://www.udemy.com/course/microsoft-fabric-the-ultimate-guide/?couponCode=LEARNFABRIC 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗟𝗲𝗮𝗿𝗻: ✅ Data Warehousing: Understand the principles of data warehousing, master SQL for querying and managing data, and learn how to design and implement data warehouses within Microsoft Fabric. ✅ Power BI: Create powerful, interactive reports and dashboards. ✅ Data Engineering: Develop robust data engineering pipelines using Spark (PySpark), manage large-scale data transformations, and automate workflows efficiently. ✅ Data Factory: Master the use of Data Factory for orchestrating and automating data movement and transformation. ✅ Real-Time Intelligence: Leverage real-time data processing capabilities to gain instant insights and act swiftly in dynamic business environments.

Last Saturday I have attended "Microsoft Fabric Bootcamp Event" at Microsoft Office in Hyderabad Campus. The Live In-Person event was just amazing experience. Got an opportunity to meet with Microsoft Program Managers , Product Development Manager of Fabric Team from Microsoft , MVP's, MCT's etc. Here are my top takeaways: - Microsoft Fabric: unified platform for data services - Data Warehousing: manage data with ease - Medallion Architecture: organize data for better insights - Microsoft Fabric Notebooks: create and analyze data with PySpark - Real-time Intelligence: transform industries with real-time data - Custom Semantic Models: visualize and interpret data with Power BI Thanks to all the speakers and organizers for a fantastic event! #HDAC #MicrosoftFabric #DataAnalytics" @Will Needham It was a great learning experience !!

Big announcement yesterday: 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  As the name suggested, you can now use Trusted Workspace Access and Private Endpoints on any F-SKU capacity. Previously it was reserved for F64 and above, so it's great that they are now making these features available to everyone. From the article: - Trusted workspace access allows seamless and secure access to firewall enabled Azure storage accounts. It is designed to help you securely and easily access data stored in Storage accounts from Fabric workspaces, without compromising on performance or functionality. This feature extends the power and flexibility of OneLake shortcuts to work with data in protected storage accounts in place without compromising on security. You can also use this capability with Data pipelines and the COPY INTO feature of Fabric warehouses to ingest data securely and easily into Fabric workspaces. To get started with this feature and to learn about limitations, see Trusted workspace access in Microsoft Fabric – Microsoft Fabric | Microsoft Learn. This feature can be used in any F capacity.  - Managed private endpoints provide secure connectivity from Fabric to data sources that are behind a firewall or not accessible from the public internet. Managed Private Endpoints enable Fabric Data Engineering items to access data sources securely without exposing them to the public network or requiring complex network configurations. Managed private endpoints are supported for various data sources, such as Azure Storage, Azure SQL Databases, and many others – the most recent addition being Azure Event Hub and Azure IOT Hub. To learn more about Managed Private Endpoints and supported data sources see Overview of managed private endpoints for Microsoft Fabric – Microsoft Fabric | Microsoft Learn. This feature can be used in any F capacity as well as Trial capacity. 

@Musili Adebayo has created a great end-to-end project, check it out here 👉🔗 View on Medium 👉🔗 View on LinkedIn As Musili mentions in the article, the project showcases the following: 1. Create a New Lakehouse. 2. Get data into the Lakehouse using various methods of data ingestion such as Shortcut, Data Pipeline, DataFlow, and File Upload. 3. Perform Data Modelling. 4. Finally, Data Visualization of the ingested table (Optional). Great job Musili!!