[Mobile pdf] 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)






 | #1236480 in Books |  Zadrozny Peter |  2013-05-22 |  2013-05-22 | Original language:English | PDF # 1 |  9.25 x.85 x7.50l,1.42 | File Name: 143025761X | 376 pages

 | Big Data Analytics Using Splunk Deriving Operational Intelligence from Social Media Machine Data Existing Data Warehouses and Other Real Time Stre


||3 of 3 people found the following review helpful.| Good overview. Interesting exercises|By P. Griffin|THe exercises involving obtaining data from various real world sources are very interesting. The reference to external visualization tolls is helpful|0 of 0 people found the following review helpful.| An excelent book about Splunk|By ROBERTO BESICK|An excelent book about Splun|About the Author|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 countr

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 o...


[PDF.dc85]  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)
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You can specify the type of files you want, for your gadget.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)   |  Peter Zadrozny, Raghu Kodali.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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