Southville International School and Colleges

Big data : (Record no. 366419)

000 -LEADER
fixed length control field 02427nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field 0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240930123200.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811257117
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9
Item number .G87 2024
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gupta, Brij B.,
Relator term author.
245 ## - TITLE STATEMENT
Title Big data :
Remainder of title management and analytics /
Statement of responsibility, etc Brij B. Gupta, Mamta.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Singapore :
Name of publisher, distributor, etc World Scientific Publishing Co. Pte. Ltd.,
Date of publication, distribution, etc 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 257 p. :
Other physical details ill. ;
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title World Scientific series on future computing paradigms and applications ;
Volume number/sequential designation vol. 1
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge. Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape. Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system. Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance"-- Provided by publisher.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mamta,
Relator term author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Date last seen Koha item type Sub Shelving location Barcode Date acquired Withdrawn status Full call number Current Location Source of classification or shelving scheme Damaged status Shelving location Source of acquisition Permanent Location Price effective from Lost status
2024-09-30Books C237472024-09-30 QA 76.9 .G87 2024College Library  Reserve SectionLibrary FundCollege Library2024-09-30 
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