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Big Data Analytics Using Splunk

โœ Scribed by Peter Zadrozny, Raghu Kodali (auth.)


Publisher
Apress
Year
2013
Tongue
English
Leaves
362
Edition
1
Category
Library

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โœฆ Synopsis


Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and patterns of user access in real time, as the access is occurring. Gone are the days when you need be caught out by shifting public opinion or sudden changes in customer behavior. Splunk's easy to use engine helps you recognize and react in real time, as events are occurring.

Splunk is a powerful, yet simple analytical tool fast gaining traction in the fields of big data and operational intelligence. Using Splunk, you can monitor data in real time, or mine your data after the fact. Splunk's stunning visualizations aid in locating the needle of value in a haystack of a data. Geolocation support spreads your data across a map, allowing you to drill down to geographic areas of interest. Alerts can run in the background and trigger to warn you of shifts or events as they are taking place.

With Splunk you can immediately recognize and react to changing trends and shifting public opinion as expressed through social media, and to new patterns of eCommerce and customer behavior. The ability to immediately recognize and react to changing trends provides a tremendous advantage in today's fast-paced world of Internet business. Big Data Analytics Using Splunk opens the door to an exciting world of real-time operational intelligence.

  • Built around hands-on projects
  • Shows how to mine social media
  • Opens the door to real-time operational intelligence

โœฆ Table of Contents


Front Matter....Pages i-xix
Big Data and Splunk....Pages 1-7
Getting Data into Splunk....Pages 9-30
Processing and Analyzing the Data....Pages 31-62
Visualizing the Results....Pages 63-96
Defining Alerts....Pages 97-108
Web Site Monitoring....Pages 109-125
Using Log Files To Create Advanced Analytics....Pages 127-138
The Airline On-Time Performance Project....Pages 139-141
Getting the Flight Data into Splunk....Pages 143-160
Analyzing Airlines, Airports, Flights, and Delays....Pages 161-193
Analyzing a Specific Flight Over the Years....Pages 195-209
Analyzing Tweets....Pages 211-229
Analyzing Foursquare Check-Ins....Pages 231-253
Sentiment Analysis....Pages 255-282
Remote Data Collection....Pages 283-294
Scaling and High Availability....Pages 295-306
The Performance of Splunk....Pages 307-322
Useful Splunk Apps....Pages 323-343
Back Matter....Pages 345-353

โœฆ Subjects


Computer Science, general


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