Big data analytics (Record no. 6558)

MARC details
000 -LEADER
fixed length control field 01825nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250811160532.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220909b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781482234510
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Language of cataloging eng
Transcribing agency CSL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number D65,8(B):3:(8) Q5
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pries, Kim H
Relator term author
245 #0 - TITLE STATEMENT
Statement of responsibility, etc. / by Kim H Pries and Robert Dunnigan
Title Big data analytics
Remainder of title : A practical guide for managers
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 556p.
Other physical details : ill.
500 ## - GENERAL NOTE
General note Index 541-556p.
520 ## - SUMMARY, ETC.
Summary, etc. With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.<br/><br/>Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package.<br/>The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Benefits
9 (RLIN) 817752
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Discovery
9 (RLIN) 817753
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
9 (RLIN) 817754
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Hadoop
9 (RLIN) 817755
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dunnigan, Robert
Relator term co-author
9 (RLIN) 460675
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Classification part D65,8(B):3:(8) Q5
Koha item type Textual
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Central Science Library Central Science Library 2022-09-12 447, 11/03/2015, Limpid Book Service   D65,8(B):3:(8) Q5 SL1598147 2022-09-12 2022-09-12 Textual