What's New in Azure Data Factory? Latest Features and Updates

Azure Data Factory (ADF) has introduced several notable enhancements over the past year, focusing on expanding data movement capabilities, improving data flow performance, and enhancing developer productivity. Here’s a consolidated overview of the latest features and updates:
Data Movement Enhancements
- Expanded Connector Support: ADF has broadened its range of supported data sources and destinations:
- Azure Table Storage and Azure Files: Both connectors now support system-assigned and user-assigned managed identity authentication, enhancing security and simplifying access management.
- ServiceNow Connector: Introduced in June 2024, this connector offers improved native support in Copy and Lookup activities, streamlining data integration from ServiceNow platforms.
- PostgreSQL and Google BigQuery: New connectors provide enhanced native support and improved copy performance, facilitating efficient data transfers.
- Snowflake Connector: Supports both Basic and Key pair authentication for source and sink, offering flexibility in secure data handling.
- Microsoft Fabric Warehouse: New connectors are available for Copy, Lookup, Get Metadata, Script, and Stored Procedure activities, enabling seamless integration with Microsoft’s data warehousing solutions.
Data Flow and Processing Improvements
- Spark 3.3 Integration: In April 2024, ADF updated its Mapping Data Flows to utilize Spark 3.3, enhancing performance and compatibility with modern data processing tasks.
- Increased Pipeline Activity Limit: The maximum number of activities per pipeline has been raised to 80, allowing for more complex workflows within a single pipeline.
Developer Productivity Features
- Learning Center Integration: A new Learning Center is now accessible within the ADF Studio, providing users with centralized access to tutorials, feature updates, best practices, and training modules, thereby reducing the learning curve for new users.
- Community Contributions to Template Gallery: ADF now accepts pipeline template submissions from the community, fostering collaboration and enabling users to share and leverage custom templates.
- Enhanced Azure Portal Design: The Azure portal features a redesigned interface for launching ADF Studio, improving discoverability and user experience.
Upcoming Features
Looking ahead, several features are slated for release in Q1 2025:
- Dataflow Gen2 Enhancements:
- CI/CD and Public API Support: Enabling continuous integration and deployment capabilities, along with programmatic interactions via REST APIs.
- Incremental Refresh: Optimizing dataflow execution by retrieving only changed data, with support for Lakehouse destinations.
- Parameterization and ‘Save As’ Functionality: Allowing dynamic dataflows and easy duplication of existing dataflows for improved efficiency.
- Copy Job Enhancements:
- Incremental Copy without Watermark Columns: Introducing native Change Data Capture (CDC) capabilities for key connectors, eliminating the need for specifying incremental columns.
- CI/CD and Public API Support: Facilitating streamlined deployment and programmatic management of Copy Job items.
- These updates reflect Azure Data Factory’s commitment to evolving in response to user feedback and the dynamic data integration landscape. For a more in-depth exploration of these features, you can refer to the official Azure Data Factory documentation.
WEBSITE: https://www.ficusoft.in/azure-data-factory-training-in-chennai/
Comments
Post a Comment