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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 12

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Analyzing Tweets

In this chapter we will review how to process and analyze tweets . We will go over the Twitter object format and the fields it contains. You will also learn about JSON, the data interchange format used by Twitter to share tweets and other information, as well as how to load data with this format into Splunk, including timestamp considerations. New commands will be used to create a number of searches for handling tweets in a historic way and on a real-time basis.

Twitter is a microblogging service where users can post or read text-based messages that can have a maximum of 140 characters. Each one of these messages is ...

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Publisher Resources

ISBN: 9781430257615Purchase book