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摘要:
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.
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篇名 High Performance Analytics with SAP HANA Virtual Models
来源期刊 电脑和通信(英文) 学科 医学
关键词 SAP HANA In-Memory COMPUTING VIRTUAL DATA Model Advanced ANALYTICS BIG DATA
年,卷(期) 2017,(7) 所属期刊栏目
研究方向 页码范围 1-10
页数 10页 分类号 R73
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研究主题发展历程
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SAP
HANA
In-Memory
COMPUTING
VIRTUAL
DATA
Model
Advanced
ANALYTICS
BIG
DATA
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研究分支
研究去脉
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期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
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783
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0
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0
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