
Query data in Azure Data Lake using Azure Data Explorer
Azure Data Lake Storage is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and …
AzureStorage.DataLake - PowerQuery M | Microsoft Learn
Sep 16, 2025 · About Returns a navigational table containing the documents found in the specified container and its subfolders at the account URL, endpoint, from an Azure Data Lake …
Azure Data Lake Storage Gen1 - Power Query | Microsoft Learn
Includes basic information, prerequisites, and information on how to connect to Azure Data Lake Storage Gen1.
www.keplerworks.com
We would like to show you a description here but the site won’t allow us.
Import Azure Data Lake Storage Data into Microsoft Power Query
The CData API Server offers standards-based Web service endpoints that allow a variety of applications to access Azure Data Lake Storage data. In this article, you will use the OData …
Connect Azure Data Lake Storage Gen2 for dataflow storage - Power Query …
Jan 17, 2024 · Azure Data Lake Storage Gen2 provides an enormously scalable storage facility for data. Dataflow data and definition files can be leveraged by your IT department's …
Work with Live Azure Data Lake Storage Data in Power Query
Configure Azure Data Lake Storage Connectivity for Power Query Connectivity to Azure Data Lake Storage from Power Query is made possible through CData Connect AI. To work with …
Connecting PowerApps to Data Lake Storage tables
Jul 29, 2024 · Power Query Lakehouse (Beta) connector - Power Query Provides basic information and connection instructions for connecting to a Lakehouse. Create an Azure …
Optimizing access to Azure Data Lake Storage (ADLS) Gen 2 in Power Query
May 29, 2020 · I recently implemented Power BI models by extracting data from Azure Data Lake Storage (ADSL) Gen 2, and I wanted to share a lesson learned when using this connector.
What are Data Lakes? Key Concepts, Benefits, and Use Cases
Feb 11, 2025 · Explore the essence of data lakes in modern data architecture: scalable repositories storing diverse data types for agile analytics and innovation, transforming …