In order to better meet the needs of our customers we are constantly evolving and innovating our products. Topics related to data integration and data orchestration are evolving at an especially rapid rate as companies need to apply data management strategies not only to their SAP data, but also to their 3rd party data such as streaming data, data from various cloud solutions, IoT, media and other types of data which is required for business processing and data-driven innovation.
SAP Data Hub is a data orchestration and management solution running on Kubernetes, leveraging open source and embedding machine learning capabilities. It was released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engines, enhancing developer productivity and extracting value from distributed data.
During the last two year’s we’ve seen a lot of customer projects and landscapes evolving towards automated and intelligent data integration embracing machine learning processes.
In 2019 SAP Data Hub was released as managed service on SAP Cloud Platform with the name SAP Data Intelligence. The name SAP Data Intelligence highlights the evolution of SAP Data Hub to operationalize data science and machine learning with the inclusion of the SAP Leonardo Machine Learning Foundation. SAP Data Intelligence provides all the integration, orchestration, metadata management, connectivity and rich services of SAP Data Hub with the services of SAP Leonardo Machine Learning in the cloud. This combination is critical to enable collaboration between IT and data science teams. Data scientists continue to work with the tools they love, while working in collaboration with IT from prototyping to production, ensuring AI and machine learning projects can scale and are managed within IT guidelines. At the same time, the development and operation experience for data integration and ML is streamlined.