Big data analytics with Java : big data analytics - massive, predictive, social and self-driving
By: Mehta, Rajat
Material type: BookPublisher: Birmingham, UK : Packt Publishing, 2017.Description: xiii, 392 p. : ill. ; 25 cm.ISBN: 9781787282193; 9781787288980; 1787282198Subject(s): Java (Computer program language) | Data mining | Big dataDDC classification: 005.133 ME BI Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 005.133 ME BI (Browse shelf) | Available | T0057693 |
, Shelving location: Main Collection Close shelf browser
005.133 MC DA Data structures and algorithms using Java / | 005.133 MC HE Head first Ruby / | 005.133 MC SU Sun certified Java associate certification study guide for J2EE, J2ME, J2SE and Java 5 / | 005.133 ME BI Big data analytics with Java : | 005.133 ME EF Effective C++ : | 005.133 ME EF Effective C++ : | 005.133 MI ES Essential C♯ 4.0 / |
Includes index.
This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.
This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.