In-memory Technique: High Performance Analytics with SAP HANA Track E-DATA Warehousing and Data Mining

Increasingly sophisticated business decision models depend on extremely fast access and manipulation of massive data stores. Insight into business operations often demands data volumes that are beyond the capabilities of traditional disk-based systems to process them in real time, which can limit access to benefits such as Efficiency provided by the ability to respond in real-time to the changing needs of the business, Flexibility based on insight that accurately directs quick action and Empowerment of business users to make and act on smart decisions. This reality often causes a separation between ongoing business needs and the analytic applications that support them. The purpose of this research is to identify and avoid delays caused by the data replication and the lag time between data gathering and interpretation, which delays the ability to benefit from business information, thereby limiting its value. SAP HANA in-memory database is a hybrid in-memory database that combines rowbased, columnbased, and object-based database technology, optimized to exploit the parallel processing capabilities of current hardware in cloud environment [9]. The study shows how to Gain real-time business insights with near-zero latency.