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Empowering Enterprises With Data Discovery, Orchestration, and Delivery

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Empowering Enterprises With Data Discovery, Orchestration, and Delivery

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Great speaking with Nic Smith, Global Vice President of Product Marketing for Cloud Analytics at SAP SE  about their release of the SAP Data Hub, which helps build agile, data-driven pipeline applications that tap a single, logical data set representing an entire enterprise.

The data orchestration solution distills business value from all data for operational excellence and digital expansion. The 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.

I also had the opportunity to speak with Franz Farber, Executive Vice President, Products and Innovation, Big Data at SAP and his client, Falko Lameter, CIO at Kaeser Compressors.

According to Farber, “The 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. 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 the onboarding of new data sources and the 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.

According to Lameter, “Our old architecture was not suited for large, targeted data volumes and the processing of IoT data required a lot of effort, 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 data with our customer data, we operate like an intelligent enterprise that provides real value to customers.”

Learn how taking a DataOps approach will help you speed up processes and increase data quality by providing streamlined analytics pipelines via automation and testing. Learn More.

Topics:
big data ,data management solutions ,data orchestration ,agile data ,data pipelines

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