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High Performance Analytics

机译:高性能分析

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摘要

With the turn of decade we saw how business analytics has become analogous to business intelligence, and how every BI solution incorporates analytics capabilities to help enterprises make better business decisions. The data warehouses of organizations are growing at incredible rate, and as organizations perform highly complex and interactive queries against large volume of data and do granular level of data analysis against that to gain insights for better business decisions. They do not want to rely on historic data, but also on the current streaming data. That would help organizations to make more relevant decisions which are based on information of prevailing business scenario. Hence, to do real-time data analysis and avoiding latency in query executions, organizations require high performance analytics.
机译:十年之交,我们看到了业务分析如何变得类似于商业智能,以及每个BI解决方案如何结合分析功能来帮助企业做出更好的业务决策。组织的数据仓库正以令人难以置信的速度增长,并且随着组织对大量数据执行高度复杂和交互式的查询,并针对这些数据进行细粒度的数据分析,以获取洞察力,从而做出更好的业务决策。他们不想依赖历史数据,也不想依赖当前的流数据。这将帮助组织根据当前业务场景的信息做出更相关的决策。因此,为了进行实时数据分析并避免查询执行中的延迟,组织需要高性能分析。

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  • 来源
    《PC Quest》 |2010年第2期|22-2326|共3页
  • 作者

    Rahul Sah;

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  • 正文语种 eng
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