SAN FRANCISCO, Sept. 11, 2013 /PRNewswire/ -- SAP AG (NYSE: SAP) today announced the expansion of big data offerings around three major pillars: the SAP HANA® platform, applications enabled for big data and data science. SAP has entered reseller agreements with Intel and Hortonworks to resell and support the Intel® Distribution Apache Hadoop® and the Hortonworks Data Platform with SAP HANA, expanding existing partnerships with both vendors. SAP also announced a new big data-enabled application for manufacturers. Furthermore, SAP has created a new Data Science organization to better help customers uncover relevant signals within their data. Additionally, the "Big Data Geek Challenge" is now open. The announcements were made at TechCrunch Disrupt, being held September 7-11 in San Francisco.
"The SAP HANA platform and its integration with Hadoop have married together real-time insights with extreme storage, solving one of the biggest problems with current big data solutions, a fragmented landscape of solutions that are difficult to connect together," said Steve Lucas, president, Platform Solutions, SAP. "Our expanded big data strategy provides customers a single, integrated approach to combine enterprise data and additional information to employees and consumers, as well as improve business processes such as customer engagement, preventative maintenance and responsive supply chain."
SAP Partners With Intel and Hortonworks to Redistribute Apache HadoopSAP has signed agreements to redistribute and support Intel Distribution Apache Hadoop and Hortonworks Data Platform to customers. Customers are envisioned to be able to purchase big data solutions supported by SAP and leveraging capabilities of market-leading technologies such as SAP HANA, Apache Hadoop, SAP® Sybase® IQ software, SAP® Data Services software and SAP® BusinessObjects™ business intelligence (BI) solutions. Integration with Apache Hadoop is part of SAP's overall strategy to provide valuable insights across a continuum of data from the efficient storage of massive amounts of cold data, to petabyte-level storage of warm data to real-time and streaming data analysis."Enterprises today are looking for big data solutions that are simple and quick to implement that enable insight from all data in real time in a secure environment to improve business processes," said Boyd David, vice president and general manager of Intel's Datacenter Software Division. "With performance optimizations for Intel hardware as well as encryption and decryption improvements for better security, the integration of the Intel Distribution for Apache Hadoop with the SAP HANA platform provides enterprises with security and scalability without having to sacrifice performance." "By reselling the Hortonworks Data Platform, SAP can assure their customers they are deploying an SAP HANA and Hadoop architecture fully supported by SAP, while giving them the benefits of a fully open source Hadoop distribution," said Shaun Connolly, vice president, Corporate Strategy, Hortonworks. "Hortonworks is committed to contributing all of its innovations back to the Apache project, ensuring that 100 percent of their Hadoop distribution is open source." Today's news expands on existing partnerships SAP previously announced with Intel in February 2013. Additionally, SAP intends to continue to certify and support all the Apache Hadoop distributions as a part of the overall SAP partner program. SAP Announces Demand Signal Management Application for ManufacturersManufacturers are striving to become demand-driven in order to be more responsive to their customers' needs. To do so, manufacturers need visibility and access to downstream demand data and customer insight. Powered by SAP HANA, the SAP® Demand Signal Management application is intended to allow companies to meet these needs by:
- Capturing large volumes of downstream demand signals, i.e., a retailer's point-of-sale data, along with market research data and consumer sentiment.
- Gaining valuable and real-time insights that shall help enable supply chain, sales and marketing functions to become more responsive and demand-driven
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