Big data analytics using Splunk / Peter Zadrozny, Raghu Kodali.
Material type:
TextPublisher: [New York, N.Y.] : Apress, [2013]Description: xix, 353 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 143025761X; 9781430257615Other title: Subtitle on cover: Deriving operational intelligence from social media, machine data, existing data warehouses, and other real-time streaming sourcesSubject(s): Big data | Data mining | Automatic data collection systems | Automatic data collection systems | Big data | Data miningDDC classification: 005.74 LOC classification: QA76.9.B45 | Z2 2013Online resources: Contributor biographical information | Publisher description | Table of contents only | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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ATU Book
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SCHOOL OF BUSNESS AND MANAGEMENT LIBRARY - ACCRA TECHNICAL UNIVERSITY General Stacks | QA76.9.B45 Z2 2013 (Browse shelf(Opens below)) | c1 | Available | 0000017475 |
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| QA76.76 .H7 1989 Hypertext hands-on! : an introduction to a new way of organizing and accessing information / | QA76.76 .M36 1996 Microsoft Office 97 simplified / | QA76.8.A66 .L83 2010 Computer Literacy Basics: A Comprehensive Guide to IC3/ | QA76.9.B45 Z2 2013 Big data analytics using Splunk / | QA76.9.C55 Sh2 2001 SQL Server 2000 : the complete reference / | QA76.9.D3 O38 2000 Microsoft access 2000 / | QA76.9.D3 O38 2000 Microsoft access 2000 / |
"The expert's voice in big data."--Cover.
Includes index.
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.
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.
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