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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 8

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The Airline On-Time Performance Project

This chapter presents a project to get you used to using Splunk outside the context of machine data, using CSV files, and interacting with relational databases. It discusses an embryonic methodology that we shall use for the project, and explains what will be done in the next three chapters.

The Airline On-Time Performance project is based on publicly available data, which keeps track of all the domestic flights within the Unites States of America, including Puerto Rico and the Pacific Territories and Possessions. This data set is particularly well suited for explaining how to use Splunk as an ...

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Publisher Resources

ISBN: 9781430257615Purchase book