Javatpoint Azure Data Factory _hot_ -

Azure Data Factory (ADF) is cloud-based data integration service

Key Control Activities:

1. Execute Pipeline: Call another pipeline (modular design).
2. ForEach: Iterate over a list (e.g., process 10 tables from a config file).
3. If Condition: Branching logic (if file exists, process; else send email alert).
4. Until: Loop until condition is true (e.g., retry API call until HTTP 200).
5. Web Activity: Call REST APIs (trigger external services like Datadog or Teams).

• Web Activity calls API → On Failure → Wait activity (30 seconds) → Retry.
• After 3 failures, send email via Office 365 Outlook connector.

Monitoring and Troubleshooting Azure Data Factory javatpoint azure data factory

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 Azure Data Factory (ADF) is cloud-based data integration

: Named views of data that point to the information used in activities. Linked Services Execute Pipeline: Call another pipeline (modular design)