| 000 -LEADER |
|---|
| fixed length control field |
02733nam a22004337a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CITU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230925103845.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
140124s2013 nyua 000 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2013444424 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780071808170 (pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0071808175 (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)ocn829742565 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D5 |
| Item number |
H37 2013 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Zikopoulos, Paul C. |
| Relator term |
author |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Harness the power of Big Data : |
| Remainder of title |
the IBM Big Data platform / |
| Statement of responsibility, etc |
Paul C. Zikopoulos ... [et al.]. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
McGraw-Hill, |
| Date of publication, distribution, etc |
[2013] |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
c2013 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxx, 248 p. : |
| Other physical details |
ill. ; |
| Dimensions |
23 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Part 1: The Big Deal about Big Data. 1. What is Big Data? --<br/>2. Applying Big Data to Business Problems: A Sampling of Use Cases --<br/>3. Boost Your Big Data IQ: The IBM Big Data Platform. Part II: Analytics for Big Data at Rest. 4. A Big Data Platform for High-Performance Deep Analytics: IBM Puredata Systems--<br/>5. IBM Enterprise Hadoop: Infosphere BigInsights. Part III: Analytics for Big Data In-Motion. 6. Real-Time Analytic Processing With Infosphere Streams. Part IV: Unlocking Big Data. 7. If Data Is The New Oil. Part V: Big Data Analytic Accelerators. 8. Differentiate Yourself With Text Analytics --<br/>9. The IBM Big Data Analytic Accelerators. Part VI: Integration and Governance in a Big Data World. 10. To Govern Or Not To Govern: Governance In A Big Data World --<br/>11. Integrating Big Data in the Enterprise. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Learn all about IBM's enterprise-class end-to-end Big Data platform. Boost your Big Data IQ : details on in-motion and at-rest analytics, data asset discovery, integration, and governance. Get details surrounding the most common Big Data use cases that are transforming organizations today. Learn how to make down-stream Big Data projects faster to deploy ... and less risky. Gain confidence in your Big Data projects with an end-to-end tour of accelerators, tool sets, and samples to get you going ... FAST!"-- |
| Assigning source |
cover |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic data processing |
| General subdivision |
Distributed processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
File organization (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
deRoos, Dirk. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Parasuraman, Krishnan. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Deutsch, Thomas. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Corrigan, David. |
| Relator term |
author |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Giles, James. |
| Relator term |
author |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
BOOK |
| Issues (borrowed), all copies |
1 |