Azure Data Factory Blog | Microsoft Community Hub Azure Data Factory Memory Optimized Data Flows will be fully retired on April 1, 2027 Going forward, all ADF Data Flows will use the General Purpose SKU that will provide performance that is superio
Integrating Azure Data Factory and the Microsoft Intune Export API Azure Data Factory also supports data transformation activities, such as mapping data columns, filtering data rows, or joining data sets Azure Data Factory can enable administrators to create custom reports on Intune data by using their preferred data store and reporting tool \n \n You can read more about Azure Data Factory here: \n \n
Announcing the new Databricks Job activity in ADF! And with this new update, you’ll be able to trigger these workflows from your Azure Data Factory pipelines To make use of this new activity, you’ll find a new Databricks activity under the Databricks activity group called Job
Azure Data Factory and Azure Databricks Best Practices Azure Data Factory (ADF), Synapse pipelines, and Azure Databricks make a rock-solid combo for building your Lakehouse on Azure Data Lake Storage Gen2 (ADLS Gen2) ADF provides the capability to natively ingest data to the Azure cloud from over 100 different data sources
Scaling Cloud ETL: Optimizing Performance and Resolving Azure Data . . . Optimizing ETL Data Pipelines When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable
Azure Data Factory CI-CD using YAML template The Data Factory is configured with Azure Dev-ops Git (Collaboration and publish branch) and the root folder where the data factory code is committed 2 A feature branch is created based on the main collaboration branch for development The branch in the Data Factory UI is changed to feature branch 3
Copying Azure Table Storage using Azure Data Factory (ADF) | Microsoft . . . Azure Storage Explorer to export-import data from tables Use AzCopy v7 3, which has table support, to download-upload data from storage tables For storage accounts containing large number of tables, we can also use Azure Data Factory (ADF) This blog demostrates how we can use ADF for copying storage tables across 2 storage accounts 1
Automated Continuous integration and delivery – CICD in Azure Data Factory In Azure Data Factory, continuous integration and delivery (CI CD) involves transferring Data Factory pipelines across different environments such as development, test, UAT and production This process leverages Azure Resource Manager templates to store the configurations of various ADF entities, including pipelines, datasets, and data flows
How to Enable Zone Redundancy in Azure Data Factory Microsoft's official documentation states: “Azure Data Factory data is stored and replicated in the paired region to protect against metadata loss During regional datacenter failures, Azure may initiate a regional failover of your Azure Data Factory instance In most cases, no action is required on your part
Metadata Driven Pipelines for Dynamic Full and Incremental Processing . . . Copy Data from ADLS Gen 2 to Stage Table in Azure SQL DB: The next step is to load the data from ADLS Gen 2 into a staging table to prep to perform the incremental processing The staging table allows for temporary data to be stored and leverage the full compute power of the Azure SQL DB, as well as maintaining more control over the processing