What's New in Azure Data Factory 2024?
Microsoft's cloud-based #dataintegration tool, Azure Data Factory (ADF), is still developing and will have more upgrades and improvements in 2024. With these enhancements, #ADF becomes a more powerful tool for data engineering and analytics. These enhancements focus on performance, connection, scalability, and user experience. Here's a thorough look at the most recent additions and features.?
Upgraded Mapping Data Flows to Spark 3.3?
The upgrade of #MappingDataFlows to leverage #Spark 3.3 is one of the?major?updates in ADF?for?2024. Users may now perform #dataflowactivities more quickly and effectively, which improves the speed of data transformation procedures. #Dataprocessing is now more scalable and resilient thanks to several new features and?improvements?introduced in Spark 3.3 that?improve?the capabilities of data flows in ADF (Microsoft Learn).?
New and Improved Connectors?
Azure Data Factory has expanded its list of #connectors, improving #datamovement and integration capabilities:?
Increased Pipeline Activity Limit?
The #pipelineactivity limit has been raised to 80 by Azure Data Factory to support increasingly intricate data integration processes.?This?makes it possible for users to create more complex data pipelines without being constrained by earlier activity limitations, which makes it easier to create complete workflows for data processing.?
Expanded Regional Availability?
ADF is still reaching new heights in the world. It was?made?available in further areas in 2024, such as Italy North and Israel Central. With this addition, users can ensure compliance with local data residency rules and improve performance by co-locating their #ETLprocedures with their data storage sites.?
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Enhanced Integration with Azure Synapse and Databricks?
The way that ADF integrates with #AzureDatabricks and #Synapse Analytics has?been?greatly?enhanced. Better support for metadata-driven ingestion patterns and direct ADF task execution for Databricks are two examples of this. These improvements enable more effective #dataengineering operations by streamlining #dataorchestration and processing.?
Native UI Support for Parameterization?
The user interface of ADF has?been improved?to enable parameterization for several associated services, such as Google BigQuery, SAP HANA, and #MariaDB.?The implementation of?dynamic and reusable data pipelines is made?easier?for users by this enhancement, which streamlines the configuration and maintenance of data sources.?
Managed Virtual Network and Private Endpoints?
ADF has released its private endpoints and managed #virtualnetwork functionalities to the public. For data integration tasks, these features offer improved network security and isolation. For services like #ApplicationGateway and #MySQL Flexible Server, users may now take advantage of managed private endpoints, guaranteeing safe and effective data transfer throughout their network environments.?
Additional Enhancements?
The broad availability of Time to Live (TTL) for Managed Virtual Networks and support for Azure DevOps Server 2022 for #Gitintegration, including on-premises #ADOservers, are two other noteworthy improvements in ADF. With these enhancements, users now have more tools at their disposal to efficiently manage their data pipelines and interact with other #Azureservices.?
Conclusion?
With the 2024 upgrades, ADF becomes an even more potent and adaptable data integration and orchestration solution. It?is?positioned?as?a prominent solution for contemporary data engineering difficulties because of its improved #securityfeatures,?wider?connectivity, greater pipeline capacity, and improved data flow performance. Also, ADF?makes sure that?users can create effective, scalable, and safe data workflows to fulfill their #businessobjectives by constantly improving and extending its capabilities.?
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