Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources - Brossura

Zadrozny, Peter; Kodali, Raghu

 
9781430257615: Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
Brossura
ISBN 10: 143025761X ISBN 13: 9781430257615
Casa editrice: Apress, 2013

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Apress
Data di pubblicazione
2013
Lingua
Inglese
ISBN 10 
143025761X
ISBN 13 
9781430257615
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
376
Contatto del produttore
non disponibile
Persona responsabile
non disponibile