Big Data Analytics Using Splunk

Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

Authors: Zadrozny, Peter, Kodali, Raghu

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  • Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time.

Buy this book

eBook 29,99 €
price for Spain (gross)
  • ISBN 978-1-4302-5762-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 39,51 €
price for Spain (gross)
  • ISBN 978-1-4302-5761-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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

About the authors

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 (18 chapters)

Table of contents (18 chapters)
  • Big Data and Splunk

    Pages 1-7

    Zadrozny, Peter (et al.)

  • Getting Data into Splunk

    Pages 9-30

    Zadrozny, Peter (et al.)

  • Processing and Analyzing the Data

    Pages 31-62

    Zadrozny, Peter (et al.)

  • Visualizing the Results

    Pages 63-96

    Zadrozny, Peter (et al.)

  • Defining Alerts

    Pages 97-108

    Zadrozny, Peter (et al.)

Buy this book

eBook 29,99 €
price for Spain (gross)
  • ISBN 978-1-4302-5762-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 39,51 €
price for Spain (gross)
  • ISBN 978-1-4302-5761-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Big Data Analytics Using Splunk
Book Subtitle
Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
Authors
Copyright
2013
Publisher
Apress
Copyright Holder
Peter Zadrozny and Raghu Kodali
eBook ISBN
978-1-4302-5762-2
DOI
10.1007/978-1-4302-5762-2
Softcover ISBN
978-1-4302-5761-5
Edition Number
1
Number of Pages
XV, 376
Number of Illustrations
304 b/w illustrations
Topics