Announcing Public Preview of the SAP CDC solution in Azure Data Factory and Azure Synapse Analytics
UPDATE! We've launched the new SAP connector in ADF today, June 30, 2022, and updated the blog post below accordingly. For decades, companies have relied on Microsoft and SAP software to run their most mission-critical operations. Today, we’re excited to launch public preview of SAP Change Data Capture (CDC) in Azure Data Factory (ADF). Combining a new data connector with predefined data flow templates, this solution streamlines the integration of SAP data within core Azure services like Azure Synapse Analytics and Azure Machine Learning. The new SAP ODP connector leverages SAP Operational Data Provisioning (ODP) framework, which is an established best practice for data integration within SAP landscapes. ODP provides access to a wide range of sources across all major SAP applications and comes with built-in CDC capabilities. In combination with the predefined data flow templates to process and update the changed records to any sink, this makes SAP data integration into Azure very much straight forward.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!Granular Billing for Azure Data Factory
In this blog, Charlie Zhu walks you through the new granular billing option for Azure Data Factory and helps you better understand pipeline costs. We are bringing clarity and transparency into data pipelines operations with built-in per pipeline billing report so that you will know exactly how much each pipeline costs you.Global Parameters generally available in Azure Data Factory
You can now use global parameters in Azure Data Factory! Global parameters are constants across a data factory that can be consumed by a pipeline in any expression. They are useful when you have multiple pipelines with identical parameter names and values.
