| 期刊全稱 | Big Data Analytics Using Splunk | | 期刊簡稱 | Deriving Operational | | 影響因子2023 | Peter Zadrozny,Raghu Kodali | | 視頻video | http://file.papertrans.cn/186/185600/185600.mp4 | | 發(fā)行地址 | Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. | | 圖書封面 |  | | 影響因子 | .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 a | | Pindex | Book 2013 |
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