MARC details
| 000 -LEADER |
| fixed length control field |
02966cam a2200349 i 4500 |
| 001 - CONTROL NUMBER |
| control field |
17708471 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20190509110402.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
130423s2013 ne b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2013006421 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780124045767 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
QA76.9.D32 |
| Item number |
B47 2013 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
005.74 |
| Edition number |
22 |
| Item number |
B.J.P |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Berman, Jules J. |
| 245 10 - TITLE STATEMENT |
| Title |
Principles of big data : |
| Remainder of title |
preparing, sharing, and analyzing complex information / |
| Statement of responsibility, etc |
Jules J Berman. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Amsterdam : |
| Name of publisher, distributor, etc |
Elsevier, Morgan Kaufmann, |
| Date of publication, distribution, etc |
c2013. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xxvi, 261 p. ; |
| Dimensions |
25 cm. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
| General note |
computer bookfair2015 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index (pages 247-255). |
| 505 #0 - FORMATTED CONTENTS NOTE |
| Formatted contents note |
1. Providing structure to unstructured data --<br/>2. Identification, deidentification, and reidentification --<br/>3. Ontologies and semantics --<br/>4. Introspection --<br/>5. Data integration and software interoperability --<br/>6. Immutability and immortality --<br/>7. Measurement --<br/>8. Simple but powerful big data techniques --<br/>9. Analysis --<br/>10. Special considerations in big data analysis --<br/>11. Stepwise approach to big data analysis --<br/>12. Failure --<br/>13. Legalities --<br/>14. Societal issues --<br/>15. The future. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. . Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. . Avoid the pitfalls in Big Data design and analysis. . Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources"--Provided by publisher. |
| 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 |
Database management. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
| Materials specified |
Abstract |
| Uniform Resource Identifier |
<a href="http://repository.fue.edu.eg/xmlui/handle/123456789/3636">http://repository.fue.edu.eg/xmlui/handle/123456789/3636</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |