Real-Time Big Data Analytics for the Enterprise
Companies are using real-time big data analytics to reshape the competitive landscape in their industries. They do it by capturing, storing, and analyzing volumes and varieties of data that were previously unmanageable, and then extracting insights fast enough to support real-time business processes. What started with a few leading Internet companies has spread to finance, healthcare, government, manufacturing, retail, scientific research, and many other fields.
Yet implementing real-time big data analytics can be challenging, requiring IT organizations to implement mission-critical solutions based, at least in part, on opensource software that does not always meet enterprise requirements. Not only is integration complex, but IT organizations must establish security, compliance, and high availability from the ground up to ensure the system is up to the challenge of housing sensitive data and supporting revenue-generating business processes.
Intel and SAP have addressed these challenges to provide an enterprise-ready solution for real-time big data analytics. With SAP HANA* running on the latest Intel® Xeon® processor E7 family and the Intel® Distribution for Apache Hadoop* software running on the latest Intel Xeon processor E5 family, businesses can ingest, store, and analyze petabytes of polystructured data, and they can generate insights in fractions of a second to support real-time business processes.
Read the full Real-Time Big Data Analytics for the Enterprise white paper.