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 |
fixed length control field |
240930b xxu||||| |||| 00| 0 eng d |
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 |