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Research Paper | Science and Technology | India | Volume 11 Issue 8, August 2022
Optimization of Memory: SAP HANA Database Perspective - PART 2
Rajesh Azmeera [9] | Rhea Khanna [4] | Deepak Nanuru Yagamurthy [4]
Abstract: Memory is a fundamental resource of the SAP HANA database. Understanding how the SAP HANA database requests, uses, and manages this resource is crucial to the understanding of SAP HANA. As Data is growing rapidly and these data is stored in memory to process. Increasing DB size is directly proportional to its memory consumed. SAP HANA provides a variety of memory usage indicators that allow for monitoring, tracking, and alerting. The most important indicators are used memory and peak used memory. Memory needs to be optimized, otherwise increasing Data size can?t be accommodated by existing memory. Since SAP HANA contains its own memory manager and memory pool, external indicators such as the size of resident memory at host level and the size of virtual and resident memory at process level can be misleading when you are estimating the real memory requirements of an SAP HANA deployment. SAP HANA integrates data from multiple areas within an organization, for example: Traditional business documents - including contracts and spreadsheets. UX/UI (User Experience/User Interface) - including website forms, emails and other customer interactions Mobile - information from the mobile devices of customers and your workforce. IoT (Internet of Things) - data from the many sensors that run in every aspect of a business, from warehouses and trucks to stores and offices. The SAP HANA system not only integrates all of this data; it can also apply machine learning and AI to analyze it instantly and deeply, accelerating real-time decision-making by providing key insights into a company?s operations.
Keywords: SAP Memory Management, SAP HANA, Memory Optimization, Resource Utilization and SAP HANA Database
Edition: Volume 11 Issue 8, August 2022,
Pages: 1475 - 1481