Azure Data Factory (ADF) is a core cloud-based data integration service provided by Microsoft Azure that allows you to create data-driven workflows for orchestrating and automating data movement and transformation. For learners using resources like Javatpoint, understanding the conceptual building blocks and practical implementation of ADF is essential for mastering modern ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. Core Concepts of Azure Data Factory
In the Activities toolbox, expand and drag the Copy data activity onto the canvas.
These activities transform data using compute environments like Azure Databricks, HDInsight, Azure SQL Database, and Machine Learning.
// Create a data factory DataFactory dataFactory = new DataFactoryResource("myDataFactory", " West US"); javatpoint azure data factory
One of the most powerful features of Azure Data Factory is . This allows data engineers to develop data transformation logic visually without writing code.
Azure Data Factory — Tutorial Summary (based on Javatpoint-style format)
Move data from on-premises, SaaS, or cloud sources into a centralized repository. Azure Data Factory (ADF) is a core cloud-based
+-------------------------------------------------------+ | Pipeline | | +-------------------------------------------------+ | | | Activity | | | +-------------------------------------------------+ | | | | | v | | +-------------------------------------------------+ | | | Dataset | | | +-------------------------------------------------+ | +---------------------------|---------------------------+ v +---------------------------------+ | Linked Service | +---------------------------------+ | v +---------------------------------+ | Integration Runtime | +---------------------------------+ 1. Pipelines
Azure Data Factory Reviews & Ratings 2026 | Gartner Peer Insights
: Events that initiate the execution of a pipeline, such as a schedule or a file arrival. Why Use Azure Data Factory? Azure Data Factory — Tutorial Summary (based on
E.g., the Copy Activity , which moves data between source and sink data stores.
If a Dataset represents the specific table or file, the Linked Service represents the database or server hosting it. 5. Integration Runtimes (IR)
Used to control the flow of execution (e.g., ForEach, Until, If Condition, Web Activity). 3. Datasets