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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
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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

by Peter Zadrozny, Raghu Kodali
May 2013
Beginner to intermediate content levelBeginner to intermediate
376 pages
11h 3m
English
Apress
Content preview from Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

CHAPTER 7

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Using Log Files To Create Advanced Analytics

In this chapter we present a new paradigm, that of using log files to create advanced analytics, bypassing the route taken by traditional analytics. In doing this, we review the best way to create the analytics with a set of recommendations we call Semantic Logging . We’ll go over an example that illustrates how easy it is.

Traditional Analytics

Traditional analytics cover a number of functions, which are typically known by various names such as business intelligence, data mining, online analytical processing (OLAP), or just plain analytics. In general, companies use analytics to get a better ...

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Publisher Resources

ISBN: 9781430257615Purchase book