Microsoft Fabric in Hindi: How to load data in Lakehouse using Dataflow Gen 2 | End to End Scenario

In this Hindi video of Microsoft Fabric, Learn how to load data into a Lakehouse using a dataflow gen2. Use a destination to save data in the Lakehouse. Create joins, create measures, and analyze in SQL and Power BI.

Microsoft has Microsoft Fabric, the next-generation Analytic Platform. Check out how to enable it on Power BI Service. How to start a Fabric (Preview) trial
The Microsoft Fabric Platform provides customers with a SaaS-ified, open, lake-centric(One Lake), full-featured data, analytics, and AI platform that meets all their data estate needs. Power BI, Synapse Data Warehouse, Data Factory, Spark, and Notebook all under one platform

00:00 Introduction and create Lakehouse
02:30 Load Data in DataFlow Gen 2
06:30 Set Destination as Lakehouse
10:20 Publish the Dataflow Gen 2
21:30 Create Measure
22:30 Create Model
24:30 Analyze data in Power BI Service

🔵 What is Microsoft Fabric
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.

With Fabric, you don't need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.

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[baigrais]

Hi, thank your for explanation, I have get data into DataFlow Gen2 using Azure blob storage as a source. However the dataflow does not auto select first row as a header as it is auto selecting column names in your case. When I set the first row as header using option given in DataFlow Gen2 then it skip the names in first row and select second row as column names. What am I doing wrong?