How is the performance of the database column in the data analysis
Author: Michelle Leonny
SAP is currently developing database in-memory-type columns that will significantly accelerate the time of data analysis. Before the RAM is much cheaper, running a terabyte of data in a relational database represented a cost of nearly one million dollars. Today, does it in a database column have an approximate cost of $ 10,000?
The progress made by SAP in this area should, in addition to the investigations conducted within the company, three recent developments that came to transform the nature of data mining and analysis of huge volumes: 64-bit computing the availability of multi-core servers and the invariable decline in costs associated with the production of memory chips. Using obsolete 32-bit systems that were used earlier, 64-bit computing offers a capacity of RAM (Random Access Memory) considerably broader. For its part, multi-core servers or multi-core accelerates the speed at which they are carried out computational operations. For completeness, the RAM memory prices continue to fall without stopping. The sum of these factors allowed SAP to give free rein to develop solutions in-memory computer.
How in-memory computing will improve the productivity of companies?
Memory computing will enable organizations to gain knowledge in real time from their business systems and information technology and business decisions more effective and informed. The CEOs will have direct access to SAP systems and extract the information needed to conduct the operations of your organization, get answers to any questions in less than a second. This powerful control over the business, underpinned by strong levels of agility and flexibility will be useful for not only top executives, but also can be channeled through the organizational hierarchy to enable the different layers of the companies during the process of making decisions.
Memory computing developed by SAP provide clear visibility in real time on the information available about the operations of the company and its executives will extract the information they need when they need it. The very magnitude of the volumes of data and computing power required at the past to analyze the data limited these efforts to generate default data analysis.
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