Responsible for performing transformations on the data ... Data is extracted from an on-premise SQL Server database using Azure Data Factory. The pipeline captures metadata (such as table names) and ...

The need for batch movement of data on a regular time schedule is a requirement for most analytics solutions, and Azure Data Factory (ADF) is the service that can be used to fulfil such a requirement.

In this blog, I will show you step-by-step of extracting nested JSON data from REST API and loading into Azure Synapse Analytics using Azure Data Factory. Requirement: Recently one of my projects was ...

What is this book about? Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to ...

Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores. You can build complex ETL processes that transform data ...

ADF is used to create data-driven workflows -- such as extract, transform, load (ETL ... Additional guidance is provided in the Jan. 16 article "Create a data factory using the Azure Data Factory UI," ...

The second major version of Azure Data Factory ... you find that much of the transformation work takes place in the data stores' native environments, using the programming languages and constructs ...