Introducing Azure Data Factory Community Templates
Today, we’re excited to announce that Community Templates are now available, giving our community members an opportunity to contribute to our existing template gallery. Templates are predefined Azure Data Factory pipelines that allow you to get started quickly with Data Factory. Templates are especially useful when you're new to Azure Data Factory or Azure Synapse pipelines and want to get started quickly, reducing development time for building data integration projects, and improving developer productivity. A wide variety of best practices are also infused in templates that cater to different scenarios that you can build on top of. And if you have Git enabled, templates help create shareable pipelines for better collaboration within the same factory.Announcing the new Databricks Job activity in ADF!
We’re excited to announce that Azure Data Factory now supports the orchestration of Databricks Jobs! Databrick Jobs allow you to schedule and orchestrate a task or multiple tasks in a workflow in your Databricks workspace. Since any operation in Databricks can be a task, this means you can now run anything in Databricks via ADF, such as serverless jobs, SQL tasks, Delta Live Tables, batch inferencing with model serving endpoints, or automatically publishing and refreshing semantic models in the Power BI service. And with this new update, you’ll be able to trigger these workflows from your Azure Data Factory pipelines. To make use of this new activity, you’ll find a new Databricks activity under the Databricks activity group called Job. Once you’ve added the Job activity (Preview) to your pipeline canvas, you can connect to your Databricks workspace and configure the settings to select your Databricks job, allowing you to run the Job from your pipeline. We also know that allowing parameterization in your pipelines is important as it allows you to create generic reusable pipeline models. ADF continues to provide support for these patterns and is excited to extend this capability to the new Databricks Job activity. Under the settings of your Job activity, you’ll also be able to configure and set parameters to send to your Databricks job, allowing maximum flexibility and power for your orchestration jobs. To learn more, read Azure Databricks activity - Microsoft Fabric | Microsoft Learn. Have any questions or feedback? Leave a comment below!Announcing the Public Preview of a new top-level CDC resource in ADF
Azure Data Factory (ADF) has recently added many new CDC-enabled connectors to process change data from SQL, Storage, Cosmos DB, and many other sources. Much of the feedback that we received from our users about this has been centered around making it easy to configure and to continuously detect changes at the source. We heard your feedback and are super excited to announce the immediate release of a new top-level ADF resource that is now available in public preview in your ADF resource explorer!
General availability of SAP CDC capabilities for Azure Data Factory and Azure Synapse Analytics
Customers use SAP systems for their business-critical operations. Today, customers want to be able to combine their SAP data with non-SAP data for their analytics needs. Azure Data Factory (ADF) is an industry-leading data integration service which enables customers to ingest data from diverse data sources (e.g., multi-cloud, SaaS, on-premises), transform data at scale, and more. Azure Data Factory (ADF) works seamlessly to combine data and prepare it at cloud-scale. Customers are using ADF to ingest data from different SAP data sources (e.g., SAP ECC, SAP Hana, SAP Table, SAP BW Open Hub, SAP BW via MDX, SAP Cloud for Customers), and combining them with data from other operational stores (e.g., Cosmos DB, Azure SQL family, and more). This enables customers to gain deep insights from both SAP and non-SAP data. Today, we are excited to announce the General Availability of SAP CDC support in Azure Data Factory and Azure Synapse Analytics.Process your data in seconds with new ADF real-time CDC
In January, we announced that we've elevated our Change Data Capture features front-and-center in ADF. Up until just today, the lowest latency we were allowing for CDC processing was 15 minutes. But today, I am super-excited to announce that we have enabled the real-time option!Data Factory Increases Maximum Activities Per Pipeline to 80
This week we have doubled the limit on number of activities you may define in a pipeline, from 40 to 80. With more freedom to develop, we want to empower you to create more powerful, versatile, and resilient data pipelines for all your business needs. We are excited to see what you come up with, harnessing the power of 40 more activities per pipeline!Securing outbound traffic with Azure Data Factory's outbound network rules
The Outbound Rules feature in Azure Data Factory allows organizations to exercise granular control over outbound traffic, thereby strengthening network security. By integrating with Azure Policy, this feature also improves overall governance.
