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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 (Expert's Voice in Big Data) (Paperback) By (author) Peter Zadrozny, By (author) Raghu Kodali

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    DescriptionBig 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 intelligenceWhat you'll learn * Monitor and mine social media for trends affecting your business * Know how you are perceived, and when that perception is rising or falling * Detect changing customer behavior from mining your operational data * Collect and analyze in real time, or from historical files * Apply basic analytical metrics to better understand your data * Create compelling visualizations and easily communicate your findings Who this book is for Big Data Analytics Using Splunk is for those who are interested in exploring the heaps of data they have available, but don't know where to start. It is for the people who have knowledge of the data they want to analyze and are developers or SQL programmers at a level anywhere between beginners and intermediate. Expert developers also benefit from learning how to use such a simple and powerful tool as Splunk. Table of Contents * Part I: Splunk's Basic Operation: Getting to Know Splunk * Part I: Splunk's Basic Operation: Getting Data into Splunk * Part I: Splunk's Basic Operation: Processing and Analysing the Data * Part I: Splunk's Basic Operation: Visualizing the Results * Part I: Splunk's Basic Operation: Defining Alerts. * Part I: Splunk's Basic Operation: Web Site Monitoring * Part I: Splunk's Basic Operation: Using Log Files to Create Advanced Analytics * Part II: Airline On-Time Performance Project: On-Time Project Description * Part II: Airline On-Time Performance Project: Getting Flight Data Into Splunk * Part II: Airline On-Time Performance Project: Analyzing Airlines, Airports, Flights, and Delays * Part II: Airline On-Time Performance Project: Analyzing a Specific Flight over Time * Part III: Social Media: Analyzing Twitter Data * Part III: Social Media: Analyzing Foursquare Check-Ins * Part III: Social Media: Sentiment Analysis * Part IV: Architecture and Deployment: Distributed Topologies * Part IV: Architecture and Deployment: High Availability * Appendix A: The Performance of Splunk * Appendix B: Related Applications


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  • Full bibliographic data for Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

    Title
    Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
    Authors and contributors
    By (author) Peter Zadrozny, By (author) Raghu Kodali
    Physical properties
    Format: Paperback
    Number of pages: 376
    Width: 191 mm
    Height: 235 mm
    Thickness: 19 mm
    Weight: 646 g
    Language
    English
    ISBN
    ISBN 13: 9781430257615
    ISBN 10: 143025761X
    Classifications

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Subject Development: 20, 10
    B&T Modifier: Academic Level: 03
    LC classification: QA
    B&T General Subject: 229
    B&T Modifier: Text Format: 01
    B&T Merchandise Category: COM
    Warengruppen-Systematik des deutschen Buchhandels: 16310
    Ingram Subject Code: XH
    Abridged Dewey: 005
    BIC subject category V2: UNC
    DC22: 005.74
    LC subject heading: ,
    BISAC V2.8: COM088000, COM005030, COM030000, COM018000
    B&T Approval Code: A48401631, A93010200, A93663600
    DC23: 005.7
    LC subject heading:
    Ingram Theme: ASPT/SCITAS
    Thema V1.0: UNC, KJT, UTE, UKS, UNH
    Edition statement
    New ed.
    Illustrations note
    black & white illustrations
    Publisher
    aPress
    Imprint name
    aPress
    Publication date
    29 November 2013
    Publication City/Country
    Berkley
    Author Information
    Peter Zadrozny is an independent consultant specialized in big data, software performance, and architecture. He is also a lecturer on big data topics at San Jose State University.  He has held various executive and technical roles in many countries around the world for startups as well as Fortune 500 companies. He started the operations of WebLogic in Europe and Sun Microsystems in Mexico. He is an accomplished author with various successful books, a magazine, and was an original contributor to The Grinder, a popular open source project.
    Table of contents
    Part I: Splunk's Basic Operation: Getting to Know Splunk Part I: Splunk's Basic Operation: Getting Data into Splunk Part I: Splunk's Basic Operation: Processing and Analysing the Data Part I: Splunk's Basic Operation: Visualizing the Results Part I: Splunk's Basic Operation: Defining Alerts. Part I: Splunk's Basic Operation: Web Site Monitoring   Part I: Splunk's Basic Operation: Using Log Files to Create Advanced Analytics Part II: Airline On-Time Performance Project: On-Time Project Description Part II: Airline On-Time Performance Project: Getting Flight Data Into Splunk Part II: Airline On-Time Performance Project: Analyzing Airlines, Airports, Flights, and Delays Part II: Airline On-Time Performance Project: Analyzing a Specific Flight over Time  Part III: Social Media: Analyzing Twitter Data Part III: Social Media: Analyzing Foursquare Check-Ins Part III: Social Media: Sentiment Analysis Part IV: Architecture and Deployment: Distributed Topologies Part IV: Architecture and Deployment: High Availability Appendix A: The Performance of Splunk Appendix B: Related Applications