MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01510nam a22002658a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
680045 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20210719165124.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
121213s2013 ctu f 000 0 eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617290343 (pbk.) : |
| Terms of availability |
No price |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(StDuBDS)9781617290343 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
StDuBDS |
| Transcribing agency |
StDuBDS |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM |
| Source |
eflch |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.7'4 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Marz, Nathan. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Big data : |
| Remainder of title |
principles and best practices of scalable realtime data systems / |
| Statement of responsibility, etc. |
Nathan Marz, James Warren. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Greenwich, Conn. : |
| Name of publisher, distributor, etc. |
Manning ; |
| Place of publication, distribution, etc. |
London : |
| Name of publisher, distributor, etc. |
Pearson Education [distributor], |
| Date of publication, distribution, etc. |
2013. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
425 p. ; |
| Dimensions |
24 cm. |
| 520 8# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does complexity. Fortunately, scalability and simplicity are not mutually exclusive-rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers. 'Big Data' shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Specialized. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Real-time data processing. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computers and IT. |
| Source of heading or term |
eflch |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Warren, James. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Suppress in OPAC |
Do not suppress from OPAC |