| 000 -LEADER |
|---|
| fixed length control field |
02265nam a2200229Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-boiza |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200102123109.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191008 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-1-8485-4792-6 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IZA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mayer-Schönberger, Viktor |
| 9 (RLIN) |
4153 |
|
|---|
| Personal name |
Cukier, Kenneth |
| 9 (RLIN) |
4154 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Big Data: A Revolution That Will Transform How We Live, Work and Think |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
London |
|
|---|
| Date of publication, distribution, etc. |
2013 |
| Name of publisher, distributor, etc. |
John Murray, |
| Place of publication, distribution, etc. |
London, |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
242 pages |
| 340 ## - PHYSICAL MEDIUM |
|---|
| Location within medium |
C8 175 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Welcome to “big data” — the idea that we can do with a vast amount of data things that we simply couldn’t when we had less. The change in scale leads to a change in state. It upends the nature of business, how government works and the way we live, from healthcare to education. Big data will even change how we think about the world and our place in it. <br/>Data is becoming the oil of the information age; a raw material and the foundation of new goods and services. We can tap it because society is rendering into a data format things that never were before, from our friendships (think Facebook) to our whispers (think Twitter) to the way our car engines grunt before a breakdown. It took a decade and billions of dollars to decode the first human genome ten years ago. Today, that same amount of DNA is sequenced in a day. The implications are as huge as the datasets themselves. <br/>As we collect and crunch more data, the good news is that we can do extraordinary things: fight disease, reduce climate change, unlock mysteries of science. The bad news is that it raises a host of worries for which society is unprepared. What does it mean if big data denies us a bank loan or considers us unfit for a surgical operation, but we can’t learn the explicit reasons because the variables that went in were so myriad and complex? How do you regulate an algorithm? <br/>Join Viktor Mayer-Schönberger of the Oxford Internet Institute and Kenneth Cukier of The Economist on a fascinating journey to the world of big data. The book will surprise you, amuse you, anger you and inspire you. In the end, it may even just change the way you look at everything. <br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
big data |
| 9 (RLIN) |
4155 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://www.big-data-book.com/">http://www.big-data-book.com/</a> |
| Link text |
Big-Data-Book.com |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Monography |
| Source of classification or shelving scheme |
|
