面向高新技术企业大数据工作的内存技术集成功能

M. I. Brusakov, G. A. Botvin
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引用次数: 1

摘要

本文分析了基于SAP HANA技术作为数据存储的高技术企业大数据集内存技术实现特点。利用SAP HANA数据存储技术的列存储方法,可以实现高速的信息读取和高效的数据压缩机制的使用。压缩数据的使用可以减少解压过程所需的资源。随着知识密集型企业资源的并行工程,使用基于SAP HANA的内存技术存储和处理大数据集的成本经济可以减少信息系统中存储的信息量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-memory technology integration features for work with big data on high-tech enterprises
The analysis of in-memory technology implementation features for big data sets on hi-tech enterprises based on SAP HANA technologies as a data storage is provided in article. With use of a column-store method of SAP HANA data storage technologies, the high speed of information read and the efficiency of use of data compression mechanisms can be achieved. The compressed data usage allows to cheapen the resources for processes of a decompression. Along with a parallel engineering of resources at the knowledge-intensive enterprise, the costs economy of storage and processing of Big Data sets with use of in-memory technologies based on SAP HANA allows to reduce volumes of information stored in an information system.
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