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

Big Data Analytics Using Splunk
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Uitgever: Apress
  • Engels
  • E-book
  • 9781430257622
  • augustus 2013
  • 376 pagina's
  • Adobe ePub
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Samenvatting

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


Productspecificaties

Inhoud

Taal
Engels
Bindwijze
E-book
Verschijningsdatum
2015-10-01
Aantal pagina's
376 pagina's
Ebook formaat
Adobe ePub
Illustraties
Met illustraties

Betrokkenen

Auteur
Peter Zadrozny Raghu Kodali
Co-auteur
Raghu Kodali
Uitgever
Apress

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9781430257622

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Oorspronkelijke releasedatum
2013-08-23
Subtitel
Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
Thema Subject Code
UN

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