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HKSYU Library

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    LEADER 02307nam a22003978i 4500
    001
    991008258168707546
    005
    20250904102900.0
    008
    220422t20222015flua f b 001 0 eng d
    020
     
     
    a| 9781032340197 q| (paperback)
    020
     
     
    z| 9781482234510 q| (hardback)
    035
     
     
    a| (CaONFJC)83585154
    040
     
     
    d| NNfCLS b| eng e| rda d| HK-SYU
    050
     
    4
    a| HD30.215 b| .P754 2015
    050
     
    4
    a| HD30.215 b| .P754 2015 9| kkl
    082
    0
    4
    a| 658'.0557 2| 23
    092
    0
     
    a| 658.0557 b| PRI 2015
    100
    1
     
    a| Pries, Kim H., d| 1955-, e| author.
    245
    1
    0
    a| Big data analytics : b| a practical guide for managers / c| Kim H. Pries and Robert Dunnigan.
    246
    3
    0
    a| Practical guide for managers
    264
     
    1
    a| Boca Raton : b| Auerbach, c| 2022.
    264
     
    4
    c| ©2015
    300
     
     
    a| xix, 556 pages : b| illustrations (black and white) ; c| 24 cm
    336
     
     
    a| text b| txt 2| rdacontent
    337
     
     
    a| unmediated b| n 2| rdamedia
    338
     
     
    a| volume b| nc 2| rdacarrier
    504
     
     
    a| Includes bibliographical references and index.
    520
     
     
    a| "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. 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. 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." -- c| Provided by publisher.
    650
     
    0
    a| Management x| Statistical methods.
    650
     
    0
    a| Management x| Data processing.
    650
     
    0
    a| Big data.
    650
     
    0
    a| Data mining.
    650
     
    0
    a| Database management.
    700
    1
     
    a| Dunnigan, Robert, e| author.
    910
     
     
    b| wlc c| wsl
    998
     
     
    a| book b| 25-09-24
    945
     
     
    h| Supplement l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| GED110