Can I read BIG DATA ANALYTICS: Introduction to Hadoop, Spark, and Machine-Learning on EtoBox?

BIG DATA ANALYTICS: Introduction to Hadoop, Spark, and Machine-Learning by Raj Kamal; Preeti Saxena is a nonfiction available to read on EtoBox.

What is BIG DATA ANALYTICS: Introduction to Hadoop, Spark, and Machine-Learning about?

Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This book dwells on all the aspects of Big Data Analytics and covers the subject in its entirety. It comprises several illustrations, sample codes, case studies and real-life analytics of datasets such as toys, chocolates, cars, and student’s GPAs. The book will serve the interests of undergraduate and post graduate students of computer science and engineering, information technology, and related disciplines. It will also be useful to software developers. Salient Features: - Comprehensive coverage on Big Data NoSQL Column-family, Object and Graph databases, programming with open-source Big Data - Hadoop and Spark ecosystem tools, such as MapReduce, Hive, Pig, Spark, Python, Mahout, Streaming, GraphX - Inclusion of latest topics machine learning, K-NN, predictive-analytics, similar and frequent item sets, clustering, decision-tree, classifiers recommenders, real-time streaming data analytics, graph networks, text, web structure, web-links, social network analytics. - Web supplement includes instructional PPT’s, solution of exercis

Who reads BIG DATA ANALYTICS: Introduction to Hadoop, Spark, and Machine-Learning?

Author

Raj Kamal; Preeti Saxena

Publisher

McGraw-Hill Education

Published

2019

Language

EN

ISBN

9789353164973

Category

nonfiction