![]() ![]() The directory where the delta table resides. The Azure Data Lake Storage Gen2 URL from the last page. Enter the Shortcut Name and Sub path details and then click Create.For more information, see ADLS shortcuts. The supported models are: Organizational account, Account Key, Shared Access Signature (SAS), and Service principal. The Azure Data Lake Storage Gen2 connection name. In this case, I am using ‘Organization Account’ Authentication kind and hence need to sign in.Įxisting connections for the specified storage location will appear in the drop-down. Enter the connection details (sign in if required) and select Next.Enter the storage account URL in Connection settings.For more information, see Create an Azure Data Lake Storage Gen2 shortcut In the New shortcut wizard, select Azure Data Lake Storage Gen2 tile.In the lakehouse, click on ellipses (…) next to the Tables and select New Shortcut.Open the Fabric workspace to read, analyse and visualise the data. LOCATION * FROM parquet files stored in ADLS Gen2 create external table from parquet files stored in ADLS Gen2 In this case, I am using parquet files stored in ADLS Gen2 account to create a delta table. Create a delta table from Databricks Notebook.For more information, see Create a lakehouse with OneLake. For more information, see Fabric trial docs. ![]() An ADLS Gen2 account to store delta table and a parquet file.So, let's get started!īefore you connect, complete these steps: You will also learn how to create a Power BI report that can help drive business decisions. In this tutorial, we'll show you step-by-step how to connect to Azure Databricks generated Delta Tables and create a report in Microsoft Fabric.īy the end of this tutorial, you'll have the knowledge needed to read Azure Databricks generated Delta Tables from a Microsoft Fabric using Notebook and SQL query. Microsoft Fabric is a powerful unified analytics solution that allows users to seamlessly connect to various data sources, including Azure Databricks, and create insightful reports and visualizations without the need to move the data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |