MARC details
| 000 -LEADER |
| fixed length control field |
02566nam a22003017i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20220627102706.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
200205s2018 enka|||| b||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781292218106 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
EG-NcFUE |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
22 |
| Classification number |
303.4833 |
| Item number |
S.D.B |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| 9 (RLIN) |
33683 |
| Personal name |
Stephenson, Davida |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Big data demystified : |
| Remainder of title |
how to use big data, data science and AI to make better business decisions and gaincompetitive advantage / |
| Statement of responsibility, etc |
David Stephenson. |
| 246 30 - VARYING FORM OF TITLE |
| Title proper/short title |
How to use big data, data science and AI to make better business decisions and gain competitive advantage |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Harlow, United Kingdom : |
| Name of publisher, distributor, etc |
Pearson Education Limited, |
| Date of publication, distribution, etc |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xv, 222 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| Carrier type term |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index |
| 505 #0 - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Big data demystifies -- The story of big data -- Artificial intelligence, machine learning and big data -- Why is big data useful? -- Use cases for (big) data analytics -- Understanding the big data ecosystem -- Making the big data ecosystem work for your organization - - How big data can help guide your strategy -- Forming your strategy for big data and data science -- Implementing data science -- Analytics, algorithms and machine learning -- Choosing your technologies -- Building your team -- Governance and legal compliance -- Launching the ship -- Successful deployment in the organizatio |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business. "--Publisher's description |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Industrial management |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Big data |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Data mining. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |