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How In-memory Computing Supports In Transformation Of The Traditional It Stack? |
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Answer» SAP Business Information Warehouse (BW) is a core element to the UOM solution. SAP now uses a new in-memory computing technology called HANA. According to SAP, this has transformed the current BW IT STACK to support REPORTING and analytics. In today's fast-paced environment, PEOPLE expect instant response when searching for information on the Internet. Workers expect the same response from enterprise systems. The amount of enterprise data typically doubles every 18 months and, according to SAP, HANA technology is capable of PROVIDING 3,600 times faster analytics to allow deeper data interrogation. This can increase the number of times a user can analyze the data within a given time frame. In-memory computing moves the computing task from the computer disk drive to the local memory so that results of complex analysis and transactions are available at the user's fingertips, either on his or her desktop or smartphone. Recent improvements in hardware and the economics of memory have opened up new possibilities to create a shift in the computing architecture. In addition to creating hardware structures BASED on 8 x 8 cores per blade, software has also been redesigned to provide row and column store, compression, and insert only on delta. Microprocessors historically sit idle for long periods and data are not stored the way that business users ask questions. Eighty percent of the business system inquiries use only 20 percent of the data. SAP currently has over 40 applications that support HANA technology, including SAP BW. SAP Business Information Warehouse (BW) is a core element to the UOM solution. SAP now uses a new in-memory computing technology called HANA. According to SAP, this has transformed the current BW IT stack to support reporting and analytics. In today's fast-paced environment, people expect instant response when searching for information on the Internet. Workers expect the same response from enterprise systems. The amount of enterprise data typically doubles every 18 months and, according to SAP, HANA technology is capable of providing 3,600 times faster analytics to allow deeper data interrogation. This can increase the number of times a user can analyze the data within a given time frame. In-memory computing moves the computing task from the computer disk drive to the local memory so that results of complex analysis and transactions are available at the user's fingertips, either on his or her desktop or smartphone. Recent improvements in hardware and the economics of memory have opened up new possibilities to create a shift in the computing architecture. In addition to creating hardware structures based on 8 x 8 cores per blade, software has also been redesigned to provide row and column store, compression, and insert only on delta. Microprocessors historically sit idle for long periods and data are not stored the way that business users ask questions. Eighty percent of the business system inquiries use only 20 percent of the data. SAP currently has over 40 applications that support HANA technology, including SAP BW. |
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