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Big data analytics : (Record no. 21472)

000 -LEADER
fixed length control field 02532nam a22002057a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789353164973
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Item number KAM
100 ## - MAIN ENTRY--AUTHOR NAME
Author name Kamal, Raj
245 ## - TITLE STATEMENT
Title Big data analytics :
Sub Title introduction to hadoop, spark, and machine-learning /
Statement of responsibility, etc Raj Kamal and Preeti Saxena
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Chennai :
Name of publisher McGraw Hill Education,
Year of publication c2019
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxvi, 508 pages :
Other physical details illustrations;
Dimensions 25 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction to Big Data Analytics <br/>2. Introduction to Hadoop<br/>3. NoSQL Big Data Management, MongoDB and Cassandra<br/>4. MapReduce, Hive and Pig<br/>5. Spark and Big Data Analytics <br/>6. Machine Learning Algorithms for Big Data Analytics <br/>7. Data Stream Mining and Real-Time Analytics Platform—SparkStreaming<br/>8. Graph Analytics for Big Data and Spark GraphX Platform <br/>9. Text, Web Content, Link, and Social Network Analytics <br/>10. Programming Examples in Analytics and Machine Learning using Hadoop, Spark and Python <br/>
520 ## - SUMMARY, ETC.
Summary, etc 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.<br/>Highlights:<br/>· 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<br/>· 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.<br/>· Follows a hierarchical and teach-by- example approach from elementary to advanced level.<br/>· Rich pedagogy<br/>· Web supplement includes instructional PPTs, solution of exercises, analysis using open source datasets of a car company, and topics for advanced learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Electronic data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Business intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Information technology
700 ## - ADDED ENTRY--PERSONAL NAME
Author 2/ Editor Saxena, Preeti
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Bill Date Full call number Accession Number Price effective from Koha item type
          Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 01/03/2022 McGraw Hill Education Pvt. Ltd. 725.00 31/12/2021 005.74 KAM 45842 01/03/2022 Books
          Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 01/03/2022 McGraw Hill Education Pvt. Ltd. 725.00 31/12/2021 005.74 KAM 45843 01/03/2022 Books
          Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 01/03/2022 McGraw Hill Education Pvt. Ltd. 725.00 31/12/2021 005.74 KAM 45844 01/03/2022 Books
          Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 01/03/2022 McGraw Hill Education Pvt. Ltd. 725.00 31/12/2021 005.74 KAM 45845 01/03/2022 Books
          Institute of Public Enterprise, Library Institute of Public Enterprise, Library S Campus 01/03/2022 McGraw Hill Education Pvt. Ltd. 725.00 31/12/2021 005.74 KAM 45846 01/03/2022 Books