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Author Zadrozny, Peter.

Title Big data analytics using Splunk / Peter Zadrozny, Raghu Kodali. [O'Reilly electronic resource]

Imprint [Berkely, Calif.] : Apress ; New York : Distributed by Springer Science+Business New York, ©2013.
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Description 1 online resource (1 volume) : illustrations
text file PDF rda
Series The expert's voice in big data
Contents Big Data and Splunk -- Getting Data into Splunk -- Processing and Analyzing the Data -- Visualizing the Results -- Defining Alerts -- Web Site Monitoring -- Using Log Files To Create Advanced Analytics -- The Airline On-Time Performance Project -- Getting the Flight Data into Splunk -- Analyzing Airlines, Airports, Flights, and Delays -- Analyzing a Specific Flight Over the Years -- Analyzing Tweets -- Analyzing Foursquare Check-Ins -- Sentiment Analysis -- Remote Data Collection -- Scaling and High Availability -- The Performance of Splunk -- Useful Splunk Apps.
Summary 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. Splunks 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. Splunks 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 todays 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.
Subject Big data.
Data mining.
Automatic data collection systems.
Données volumineuses.
Exploration de données (Informatique)
Collecte automatique des données.
Automatic data collection systems
Big data
Data mining
Added Author Kodali, Raghu.
Other Form: Print version: Zadrozny, Peter. Big Data Analytics Using Splunk : Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources. Dordrecht : Springer, ©2013 9781430257615
ISBN 9781430257622 (electronic bk.)
1430257628 (electronic bk.)
Standard No. 10.1007/978-1-4302-5762-2 doi
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