000			01903nam a2200193 4500
020			_a9789353164966
082			_a005.74 _bRAJ/B
100			_aRaj Kamal
245			_aBig Data analytics: introduction to hadoop, spark and machine learning
260			_aChennai _bMc Graw Hill _c2019
300			_a508 p.
520			_aBig 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. Highlights: · 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. · Follows a hierarchical and teach-by- example approach from elementary to advanced level. · Rich pedagogy · Web supplement includes instructional PPTs, solution of exercises, analysis using open source datasets of a car company, and topics for advanced learning.
650			_abig data
650			_aElectronic data processing
650			_aStrategic planning
650			_aBusiness intelligence
650			_adata mining
942			_cBK
999			_c62793 _d62793