How the High Performance Analytics Work with SAP HANA

Authors

  • Narayan Mahajan Sr. Managing Consultant, IBM USA

Keywords:

SAP HANA, In-Memory Computing, Virtual Data Model, Advanced Analytics, Big Data

Abstract

Informed decision-making, better communication and faster response to business situation are the key differences between leaders and followers in this competitive global marketplace. A data-driven organization can analyze patterns & anomalies to make sense of the current situation and be ready for future opportunities. Organizations no longer have the problem of “lack of data”, but the problem of “actionable data” at the right time to act, direct and influence their business decisions. The data exists in different transactional systems and/or data warehouse systems, which takes significant time to retrieve/ process relevant information and negatively impacts the time window to out-maneuver the competition. To solve the problem of “actionable data”, enterprises can take advantage of the SAP HANA [1] in-memory platform that enables rapid processing and analysis of huge volumes of data in real-time. This paper discusses how SAP HANA virtual data models can be used for on-the-fly analysis of live transactional data to derive insight, perform what-if analysis and execute business transactions in real-time without using persisted aggregates.

References

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Published

2023-08-06

How to Cite

Mahajan, N. (2023). How the High Performance Analytics Work with SAP HANA. International Journal of Computer (IJC), 48(1), 178–187. Retrieved from https://www.ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2068

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Section

Articles