- Paperback: 238 pages
- Publisher: Packt Publishing Limited (28 November 2013)
- Language: English
- ISBN-10: 178216328X
- ISBN-13: 978-1782163282
- Product Dimensions: 19 x 1.4 x 23.5 cm
- Average Customer Review: 8 customer reviews
- Amazon Bestsellers Rank: #56,331 in Books (See Top 100 in Books)
Big Data Analytics with R and Hadoop Paperback – Import, 28 Nov 2013
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About the Author
Vignesh Prajapati, from India, is a Big Data enthusiast, a Pingax (www.pingax. com) consultant and a software professional at Enjay. He is an experienced ML Data engineer. He is experienced with Machine learning and Big Data technologies such as R, Hadoop, Mahout, Pig, Hive, and related Hadoop components to analyze datasets to achieve informative insights by data analytics cycles. He pursued B.E from Gujarat Technological University in 2012 and started his career as Data Engineer at Tatvic. His professional experience includes working on the development of various Data analytics algorithms for Google Analytics data source, for providing economic value to the products. To get the ML in action, he implemented several analytical apps in collaboration with Google Analytics and Google Prediction API services. He also contributes to the R community by developing the RGoogleAnalytics' R library as an open source code Google project and writes articles on Data-driven technologies. Vignesh is not limited to a single domain; he has also worked for developing various interactive apps via various Google APIs, such as Google Analytics API, Realtime API, Google Prediction API, Google Chart API, and Translate API with the Java and PHP platforms. He is highly interested in the development of open source technologies. Vignesh has also reviewed the Apache Mahout Cookbook for Packt Publishing. This book provides a fresh, scope-oriented approach to the Mahout world for beginners as well as advanced users. Mahout Cookbook is specially designed to make users aware of the different possible machine learning applications, strategies, and algorithms to produce an intelligent as well as Big Data application.
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The overall content is pretty thin as opposed to what the author claims it to be.
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