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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 11

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Analyzing a Specific Flight Over the Years

Using the analysis of a specific flight over the years as an example, we continue to explore Splunk commands. This time we focus on lookup tables, both static CSV based and using a database. It can be argued that field lookup tables are inherited from relational databases and their constant need to normalize data. As such, much of the data that we deal with on a daily basis is coded and those codes are explained in separate tables, which are called lookup tables. In Splunk you can create and upload lookup tables that can be later used in searches to expand the aforementioned codes.

Airline ...

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Publisher Resources

ISBN: 9781430257615Purchase book