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New Release of SAP® Data Hub Accelerates Trusted Data Discovery, Orchestration and Delivery to Empower Intelligent EnterprisesLAS VEGAS, Oct. 2, 2018 /PRNewswire/ -- SAP SE (NYSE: SAP) today announced the latest release of SAP® Data Hub, which helps build agile, data-driven pipeline applications that tap a single, logical data set representing an entire enterprise. The all-in-one data orchestration solution distills business value from all data for operational excellence and digital expansion. The announcement was made at the SAP TechEd conference, being held October 2–5, 2018, in Las Vegas.
SAP Data Hub allows customers to build, execute, orchestrate and govern flow-based pipelines, providing the maximum reuse of existing data developments while encompassing digital innovations. Using an innovative metadata catalog and policy management, the solution provides a trusted metadata discovery, refinement and publishing environment. Users can easily extract more information and intelligence from highly distributed, diverse hybrid and multi-cloud environments to make real-time decisions and take immediate action without unnecessary data movement or consolidation. "SAP Data Hub is the core data orchestration solution for distributed data operations in the SAP HANA® Data Management Suite, our end-to-end open data framework for building modern intelligent applications that get the right data to the right users at the right time," said Franz Faerber, SAP executive vice president, Products & Innovation, Big Data. "Since we unveiled SAP Data Hub one year ago, customers and partners are realizing the promise of the Intelligent Enterprise by increasing data transparency, transforming data landscapes while leveraging existing investments, and building new data processes that incorporate machine learning, artificial intelligence and open source technologies." SAP Data Hub extends its use of serverless compute technologies through innovations in container deployment options, extended management options for resource and application management, and increased options for on-premise as well as private and public cloud deployment and portability. A workflow-based redesign simplifies onboarding of new data sources, and development and management of complex data pipelines across the enterprise. To harness the power and flexibility of exponentially growing data, SAP Data Hub uses open data landscape management to bring together highly distributed sources of Big Data generated by users, businesses and machines — including the Internet of Things (IoT), machine learning, artificial intelligence, data warehouses, data lakes, data marts and enterprise applications. SAP Data Hub offers users a centralized, clear view of their end-to-end data processing. Kaeser Compressors SE, a manufacturer of compressed air and solutions, uses SAP Data Hub to ingest, refine and integrate IoT data with equipment and customer data from SAP S/4HANA® and the SAP HANA business data platform. With increased productivity, more agile data operations and improved ticket handling, Kaeser is achieving much higher customer satisfaction through greatly improved product support and design. "Our old architecture was not suited for large, targeted data volumes, and the processing of IoT data required a lot of effort," Kaeser Compressors SE CIO Falko Lameter said. "SAP Data Hub solves this with the scalability and flexibility of a serverless architecture and powerful data pipeline modeling for high visibility and control without the large expense of moving data. By integrating IoT daa with our customer data, we operate like an intelligent enterprise that provides real value to customers." Learn more:
SAP Data Network Helps Companies Win the Fight for Top Talent Learn more:
New Joint Solution: Cisco Container Platform for SAP Data Hub SAP Data Hub customers will get the choice of two different consumption models on the Cisco Container Platform:
The joint solution is planned to be generally available from Cisco in November 2018. It is expected to be available on SAP App Center in Q1 2019. Learn more:
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