000			02128nam a22002417a 4500
999			_c2607 _d2607
005			20220628121920.0
008			220628b ||||| |||| 00| 0 eng d
020			_a9789353164966
082			_a005.74 _bKAM
100			_aKamal, Raj _96954
245			_aBig data analytics: introduction to hadoop, spark, and machine-learning
260			_bMcGraw Hill Education (India) Pvt. Ltd. _aChennai _c2019
300			_axxvi, 508 p.
365			_aINR _b725.00
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 _9212
650			_aElectronic data processing _91476
650			_aStrategic planning _9291
650			_aBusiness intelligence _9364
650			_aInformation technology _9827
700			_aSaxena, Preeti _96955
942			_2ddc _cBK