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Big data analytics using Splunk: deriving operational intelligence from social media, machine data, existing data warehouses, and other real-time streaming sources

机译:使用Splunk进行大数据分析:从社交媒体,机器数据,现有数据仓库和其他实时流源中获取运营情报

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摘要

When looking for options to provide scalable high-performance storage and processing of big data, frameworks such as Hadoop, with Pig and Hive, or NoSQL databases such as MongoDB or CouchDB, spring to mind. However, in the field of information technology (IT) operations, a product like Splunk stands out as a well-established option to analyze the deluge of machine-generated data, delivering operational intelligence.
机译:在寻找提供可伸缩的高性能大数据存储和处理的选项时,想到的是诸如Pig和Hive的Hadoop之类的框架,或诸如MongoDB或CouchDB之类的NoSQL数据库。但是,在信息技术(IT)运营领域,像Spl​​unk这样的产品作为分析机器生成的数据泛滥,提供运营情报的公认选择而脱颖而出。

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