Big data : (Record no. 1037)
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000 -LEADER | |
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fixed length control field | 02155nam a22002655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-81-322-2494-5 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | PCN |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221124123520.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 150629s2015 ii | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781472920065 |
International Standard Book Number | 9781472920072 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Edition number | 23 |
Classification number | 005.7 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Harkness, Timandra |
Relator term | author |
245 10 - TITLE STATEMENT | |
Title | Big data : |
Remainder of title | does size matter? / |
Statement of responsibility, etc. | Timandra Harkness (Author) |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | London |
Name of producer, publisher, distributor, manufacturer | Bloomsbury Sigma, |
Date of production, publication, distribution, manufacture, or copyright notice | 2016 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 320 pages ; |
Other physical details | illustrations : |
Dimensions | 20cm. |
506 ## - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Online version restricted to NUS staff and students only through NUSNET. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics - what IS data? And what makes it big? - Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer science. |
Topical term or geographic name entry element | Big data |
Topical term or geographic name entry element | Data analysis: general |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | ACADEMIC |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
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Dewey Decimal Classification | FRANCIS LIGHT LIBRARY | FRANCIS LIGHT LIBRARY | 24/11/2022 | BOOK XCESS (PCN2202024) | 15.92 | 1037 | 4 | 1 | LR 005.7 HAR | 00001685 | 07/12/2022 | 01/12/2022 | 24/11/2022 | ACADEMIC |