Some of the more "expensive" transformation operations in ADF will be those that require large portions of your data to be grouped together. Schema modified like the Aggregate transformation and Window transformation group data into groups or windows for analytics and aggregations that require the mer...
Execution (also known as Compute) activities include data movement and data transformation activities. They have the following top-level structure:JSON Copy { "name": "Execution Activity Name", "description": "description", "type": "<ActivityType>", "typeProperties": { }, "linkedServ...
Stored Procedure Activity in ADF could be used for running batch processes and storing a pipeline's intermediate results in a way that resembles SSIS's OLE DB Command functionality. The other types of transformations I mentioned require knowledge of specific technology and we will look at the...
Create a Copy Activity in ADF pipeline: calling workday API, and sink response in Azure Data Lake Storage Gen2 as json Create a Data Flow in ADF to do some transformation, using the json files created in step1 Problem: When importing schema in Step 2, some of the fields expected to be...
ThetypePropertiessection is different for each transformation activity. To learn about type properties supported for a transformation activity, click the transformation activity in theData transformation activities. For a complete walkthrough of creating this pipeline, seeTutorial: transform data using Spark...
Data ingestion: The Copy activity in pipelines lets you move petabyte-scale data from hundreds of data sources into your data Lakehouse for further processing. Data transformation and preparation: Dataflow Gen2 provides a low-code interface for transforming your data using 300+ data transformations, ...
The Copy activity in ADF is very powerful and allows you to copy data between on-premises or cloud sources and sinks that may have different schemas. You can specify a few parameters, or accept defaults, to begin. You have a lot of control and can tune things like the schedule and ...
Azure SQL Database ADF ADLS (bronze) Databricks (silver) Coming in Future: Serverless select queries of Delta tables using Synapse Analytics external tables for Power BI dataset refreshes. Streaming data source use case from streaming source (Event-...
Mapping data flow activity: Visually designed data transformation that allows you to design a graphical data transformation logic without the need to be an expert developer. The mapping data flow will be executed as an activity within the Azure Data Factory pipeline on an ADF fully managed scaled...
You can also check the Activity Log for different activities performed on the Data Factory, control ADF permissions under Access Control, diagnose and solve problems under Diagnose and Solve Problems, configure ADF networking, lock the ADF to prevent changes or deletion of the ADF resource, and pe...