SAP is releasing the latest update to SAP Data Hub, helping to build agile, data-driven pipeline applications.
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.
“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,” said Franz Faerber, executive vice president, Products & Innovation, Big Data, SAP.
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.
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