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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
book

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 2

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Getting Data into Splunk

In this chapter, you will learn how to get the data into Splunk. We will look at different sources of data and different ways of getting them into Splunk. We will make use of a data generator to create user activity for a fictitious online retail store MyGizmoStore.com, and we will load sample data into Splunk. You will also learn how Splunk Technology Add-ons provide value with some specific sources of data from operating systems such as Windows and Unix. Before wrapping up the chapter, you will get an overview of the Splunk forwarders concept to understand how to load remote data into Splunk.

Variety of Data ...

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Publisher Resources

ISBN: 9781430257615Purchase book