How to optimize big data analytics using SAP S/4HANA with SAP HANA Vora and Hadoop

Big data offers a wealth of insight to benefit your business, but also can be a source of runaway complexity and become a drain on any organization. So what options are available to SAP customers to address big data complexity, simplify data management, and enable the kind of analytics that help business make better and faster decisions? Learn how you can use the SAP S/4HANA software suite with SAP HANA Vora — an in-memory query engine that brings Hadoop processing capabilities to SAP HANA using Apache Spark — to create a simplified, unified big data solution. Topics include: When to use SAP S/4HANA with SAP HANA Vora as part of an integrated overall business intelligence (BI) strategy How to deploy SAP S/4HANA with SAP HANA Vora using a converged infrastructure to optimize simplicity and scalability How to use SAP S/4HANA, Hadoop, Apache Spark, and additional integration and orchestration tools to integrate SAP business data, M2M data, and other data sources in a unified big data solution