Using Dataflow Gen 2 To Load Data Into A Warehouse Microsoft Fabric Tutorial
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Learn how to utilize Dataflow Gen 2 to efficiently load data into a Data Warehouse in this Microsoft Fabric tutorial. Import data from various sources, configure connections, and publish seamlessly.
- The video discusses using Dataflow Gen 2 to load data into a Data Warehouse in Microsoft Fabric.
- The process involves importing data from various sources, such as Excel files on OneDrive for Business.
- The tutorial covers creating a data flow, specifying the destination as a Data Warehouse, and configuring the connection string.
- Data Flow Gen 2 allows for saving work as drafts, enabling easy management and publishing.
- The video demonstrates loading data into both Synapse Analytics SQL Data Warehouse and Azure SQL Database.
This video tutorial delves into the process of utilizing Dataflow Gen 2 to load data into a Data Warehouse within Microsoft Fabric. The key highlights of the tutorial are as follows
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The video aims to explore the use of Dataflow Gen 2 to load data into a Data Warehouse, expanding on the previous exploration of writing data to a lake house.
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The demonstration begins by accessing Power BI Service and selecting the Data Warehouse of interest, in this case, "Fab test dwh."
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The narrator then discusses two options for data loading "New Data Pipeline" and "New Data Flow Gen 2," with a focus on the latter.
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Data Flow Gen 2 offers the flexibility to import data from various sources. In this instance, the tutorial proceeds with importing data from an Excel file located on OneDrive for Business.
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The selected CSV file is previewed, showcasing its columns and content.
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When it comes to loading the data, the narrator discusses two options Synapse Analytics SQL Data Warehouse and Azure SQL Database. The focus is on Synapse Analytics SQL Data Warehouse.
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To configure the connection, the narrator highlights the importance of obtaining the SQL endpoint for the Data Warehouse. However, due to a potential bug, this step is temporarily postponed.
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The video emphasizes the advantage of saving data flows as drafts, enabling seamless management without immediate publication.
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After revisiting the Data Warehouse to obtain the SQL endpoint, the tutorial recommences data loading using Data Flow Gen 2. The Excel file from OneDrive is selected once again, and this time, the connection string is configured.
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It is noted that both Synapse Analytics SQL Data Warehouse and Azure SQL Database can be used as endpoints, and they require the SQL connection string obtained from the Data Warehouse.
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The tutorial completes with the successful loading of data into the Data Warehouse and a brief discussion about the potential for automation in filling the connection string information.
In summary, this tutorial showcases the process of using Dataflow Gen 2 to load data into a Data Warehouse in Microsoft Fabric. It covers importing data, configuring connections, saving drafts, and provides insights into the flexibility of using different endpoints, making it a valuable resource for those looking to work with Data Warehouse solutions in Power BI.
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