MARC details
| 000 -LEADER |
|---|
| fixed length control field |
07760cam a2200385 i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221101221921.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
150515t20152015nyua b 001 0 eng d |
| 011 ## - LINKING LIBRARY OF CONGRESS CONTROL NUMBER [OBSOLETE] |
|---|
| Local cataloguing issues note |
BIB MATCHES WORLDCAT |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1617290343 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781617290343 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)909039685 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
SA$ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
SA$ |
| Modifying agency |
OCLCO |
| -- |
DOV |
| -- |
ATU |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.4038 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Marz, Nathan, |
| Relator term |
author. |
| 9 (RLIN) |
825866 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Big data : |
| Remainder of title |
principles and best practices of scalable real-time data systems / |
| Statement of responsibility, etc. |
Nathan Marz and James Warren. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Shelter Island, NY : |
| Name of producer, publisher, distributor, manufacturer |
Manning, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 308 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 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 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. A new paradigm for Big Data -- Part 1. Batch layer : -- 2. Data model for Big Data -- 3. Data model for Big Data: Illustration -- 4. Data storage on the batch layer -- 5. Data storage on the batch layer: Illustration -- 6. Batch layer -- 7. Batch layer: Illustration -- 8. An example batch layer: Architecture and algorithms -- 9. An example batch layer: Implementation -- Part 2. Serving layer : -- 10. Serving layer -- 11. Serving layer: Illustration -- Part 3. Speed layer : -- 12. Realtime views -- 13. Realtime views: Illustration -- 14. Queuing and stream processing -- 15. Queuing and stream processing: Illustration -- 16. Micro-batch stream processing -- 17. Micro-batch stream processing: Illustration -- 18. Lambda Architecture in depth -- -- |
| 505 00 - FORMATTED CONTENTS NOTE |
|---|
| Miscellaneous information |
1. |
| Title |
A new paradigm for Big Data -- |
| Miscellaneous information |
1.1. |
| Title |
How this book is structured -- |
| Miscellaneous information |
1.2. |
| Title |
1.2Scaling with a traditional database -- |
| Miscellaneous information |
1.3. |
| Title |
NoSQL is not a panacea -- |
| Miscellaneous information |
1.4. |
| Title |
First principles -- |
| Miscellaneous information |
1.5. |
| Title |
Desired properties of a Big Data system -- |
| Miscellaneous information |
1.6. |
| Title |
The problems with fully incremental architectures -- |
| Miscellaneous information |
1.7. |
| Title |
Lambda Architecture -- |
| Miscellaneous information |
1.8. |
| Title |
Recent trends in technology -- |
| Miscellaneous information |
1.9. |
| Title |
Example application: SuperWebAnalytics.com -- |
| Miscellaneous information |
1.10. |
| Title |
Summary -- -- |
| Miscellaneous information |
Part 1. |
| Title |
Batch layer : -- -- |
| Miscellaneous information |
2. |
| Title |
Data model for Big Data -- |
| Miscellaneous information |
2.1. |
| Title |
The properties of data -- |
| Miscellaneous information |
2.2. |
| Title |
The fact-based model for representing data -- |
| Miscellaneous information |
2.3. |
| Title |
Graph schemas -- |
| Miscellaneous information |
2.4. |
| Title |
A complete data model for SuperWebAnalytics.com -- |
| Miscellaneous information |
2.5. |
| Title |
Summary -- -- |
| Miscellaneous information |
3. |
| Title |
Data model for Big Data: Illustration -- |
| Miscellaneous information |
3.1. |
| Title |
Why a serialization framework? -- |
| Miscellaneous information |
3.2. |
| Title |
Apache Thrift -- |
| Miscellaneous information |
3.3. |
| Title |
Limitations of serialization frameworks -- |
| Miscellaneous information |
3.4. |
| Title |
Summary -- -- |
| Miscellaneous information |
4. |
| Title |
Data storage on the batch layer -- |
| Miscellaneous information |
4.1. |
| Title |
Storage requirements for the master dataset -- |
| Miscellaneous information |
4.2. |
| Title |
Choosing a storage solution for the batch layer -- |
| Miscellaneous information |
4.3. |
| Title |
How distributed filesystems work -- |
| Miscellaneous information |
4.4. |
| Title |
Storing a master dataset with a distributed filesystem -- |
| Miscellaneous information |
4.5. |
| Title |
Vertical partitioning -- |
| Miscellaneous information |
4.6. |
| Title |
Low-level nature of distributed filesystems -- |
| Miscellaneous information |
4.7. |
| Title |
Storing the SuperWebAnalytics.com master dataset on a distributed filesystem -- |
| Miscellaneous information |
4.8. |
| Title |
Summary -- -- |
| Miscellaneous information |
5. |
| Title |
Data storage on the batch layer: Illustration -- |
| Miscellaneous information |
5.1. |
| Title |
Using the Hadoop Distributed File System -- |
| Miscellaneous information |
5.2. |
| Title |
Data storage in the batch layer with Pail -- |
| Miscellaneous information |
5.3. |
| Title |
Storing the master dataset for SuperWebAnalytics.com -- |
| Miscellaneous information |
5.4. |
| Title |
Summary -- -- |
| Miscellaneous information |
6. |
| Title |
Batch layer -- |
| Miscellaneous information |
6.1. |
| Title |
Motivating examples -- |
| Miscellaneous information |
6.2. |
| Title |
Computing on the batch layer -- |
| Miscellaneous information |
6.3. |
| Title |
Recomputation algorithms vs. incremental algorithms -- |
| Miscellaneous information |
6.4. |
| Title |
Scalability in the batch layer -- |
| Miscellaneous information |
6.5. |
| Title |
MapReduce: a paradigm for Big Data computing -- |
| Miscellaneous information |
6.6. |
| Title |
Low-level nature of MapReduce -- |
| Miscellaneous information |
6.7. |
| Title |
Pipe diagrams: a higher-level way of thinking about batch computation -- |
| Miscellaneous information |
6.8. |
| Title |
Summary -- -- |
| Miscellaneous information |
7. |
| Title |
Batch layer: Illustration -- |
| Miscellaneous information |
7.1. |
| Title |
An illustrative example -- |
| Miscellaneous information |
7.2. |
| Title |
Common pitfalls of data-processing tools -- |
| Miscellaneous information |
7.3. |
| Title |
An introduction to JCascalog -- |
| Miscellaneous information |
7.4. |
| Title |
Composition -- |
| Miscellaneous information |
7.5. |
| Title |
Summary -- -- |
| Miscellaneous information |
8. |
| Title |
An example batch layer: Architecture and algorithms -- |
| Miscellaneous information |
8.1. |
| Title |
Design of the SuperWebAnalytics.com batch layer -- |
| Miscellaneous information |
8.2. |
| Title |
Workflow overview -- |
| Miscellaneous information |
8.3. |
| Title |
Ingesting new data -- |
| Miscellaneous information |
8.4. |
| Title |
URL normalization -- |
| Miscellaneous information |
8.5. |
| Title |
User-identifier normalization -- |
| Miscellaneous information |
8.6. |
| Title |
Deduplicate pageviews -- |
| Miscellaneous information |
8.7. |
| Title |
Computing batch views -- |
| Miscellaneous information |
8.8. |
| Title |
Summary -- -- |
| Miscellaneous information |
9. |
| Title |
An example batch layer: Implementation -- |
| Miscellaneous information |
9.1. |
| Title |
Starting point -- |
| Miscellaneous information |
9.2. |
| Title |
Preparing the workflow -- |
| Miscellaneous information |
9.3. |
| Title |
Ingesting new data -- |
| Miscellaneous information |
9.4. |
| Title |
URL normalization -- |
| Miscellaneous information |
9.5. |
| Title |
User-identifier normalization -- |
| Miscellaneous information |
9.6. |
| Title |
Deduplicate pageviews -- |
| Miscellaneous information |
9.7. |
| Title |
Computing batch views -- |
| Miscellaneous information |
9.8. |
| Title |
Summary -- -- |
| Miscellaneous information |
Part 2. |
| Title |
Serving layer : -- -- |
| Miscellaneous information |
10. |
| Title |
Serving layer -- |
| Miscellaneous information |
10.1. |
| Title |
Performance metrics for the serving layer -- |
| Miscellaneous information |
10.2. |
| Title |
The serving layer solution to the normalization/denormalization problem -- |
| Miscellaneous information |
10.3. |
| Title |
Requirements for a serving layer database -- |
| Miscellaneous information |
10.4. |
| Title |
Designing a serving layer for SuperWebAnalytics.com -- |
| Miscellaneous information |
10.5. |
| Title |
Contrasting with a fully incremental solution -- |
| Miscellaneous information |
10.6. |
| Title |
Summary -- -- |
| Miscellaneous information |
11. |
| Title |
Serving layer: Illustration -- |
| Miscellaneous information |
11.1. |
| Title |
Basics of ElephantDB -- |
| Miscellaneous information |
11.2. |
| Title |
Building the serving layer for SuperWebAnalytics.com -- |
| Miscellaneous information |
11.3. |
| Title |
Summary -- -- |
| Miscellaneous information |
Part 3. |
| Title |
Speed layer : -- -- |
| Miscellaneous information |
12. |
| Title |
Realtime views -- |
| Miscellaneous information |
12.1. |
| Title |
Computing realtime views -- |
| Miscellaneous information |
12.2. |
| Title |
Storing realtime views -- |
| Miscellaneous information |
12.3. |
| Title |
Challenges of incremental computation -- |
| Miscellaneous information |
12.4. |
| Title |
Asynchronous versus synchronous updates -- |
| Miscellaneous information |
12.5. |
| Title |
Expiring realtime views -- |
| Miscellaneous information |
12.6. |
| Title |
Summary -- -- |
| Miscellaneous information |
13. |
| Title |
Realtime views: Illustration -- |
| Miscellaneous information |
13.1. |
| Title |
Cassandra's data model -- |
| Miscellaneous information |
13.2. |
| Title |
Using Cassandra -- |
| Miscellaneous information |
13.3. |
| Title |
Summary -- -- |
| Miscellaneous information |
14. |
| Title |
Queuing and stream processing -- |
| Miscellaneous information |
14.1. |
| Title |
Queuing -- |
| Miscellaneous information |
14.2. |
| Title |
Stream processing -- |
| Miscellaneous information |
14.3. |
| Title |
Higher-level, one-at-a-time stream processing -- |
| Miscellaneous information |
14.4. |
| Title |
SuperWebAnalytics.com speed layer -- |
| Miscellaneous information |
14.5. |
| Title |
Summary -- -- |
| Miscellaneous information |
15. |
| Title |
Queuing and stream processing: Illustration -- |
| Miscellaneous information |
15.1. |
| Title |
Defining topologies with Apache Storm -- |
| Miscellaneous information |
15.2. |
| Title |
Apache Storm clusters and deployment -- |
| Miscellaneous information |
15.3. |
| Title |
Guaranteeing message processing -- |
| Miscellaneous information |
15.4. |
| Title |
Implementing the SuperWebAnalytics.com uniques-over-time speed layer -- |
| Miscellaneous information |
15.5. |
| Title |
Summary -- -- |
| Miscellaneous information |
16. |
| Title |
Micro-batch stream processing -- |
| Miscellaneous information |
16.1. |
| Title |
Achieving exactly-once semantics -- |
| Miscellaneous information |
16.2. |
| Title |
Core concepts of micro-batch stream processing -- |
| Miscellaneous information |
16.3. |
| Title |
Extending pipe diagrams for micro-batch processing -- |
| Miscellaneous information |
16.4. |
| Title |
Finishing the speed layer for SuperWebAnalytics.com -- |
| Miscellaneous information |
16.5. |
| Title |
Pageviews over time 262 n Bounce-rate analysis -- |
| Miscellaneous information |
16.6. |
| Title |
Another look at the bounce-rate-analysis example -- |
| Miscellaneous information |
16.7. |
| Title |
Summary -- -- |
| Miscellaneous information |
17. |
| Title |
Micro-batch stream processing: Illustration -- |
| Miscellaneous information |
17.1. |
| Title |
Using Trident -- |
| Miscellaneous information |
17.2. |
| Title |
Finishing the SuperWebAnalytics.com speed layer -- |
| Miscellaneous information |
17.3. |
| Title |
Fully fault-tolerant, in-memory, micro-batch processing -- |
| Miscellaneous information |
17.4. |
| Title |
Summary -- -- |
| Miscellaneous information |
18. |
| Title |
Lambda Architecture in depth -- |
| Miscellaneous information |
18.1. |
| Title |
Defining data systems -- |
| Miscellaneous information |
18.2. |
| Title |
Batch and serving layers -- |
| Miscellaneous information |
18.3. |
| Title |
Speed layer -- |
| Miscellaneous information |
18.4. |
| Title |
Query layer -- |
| Miscellaneous information |
18.5. |
| Title |
Summary. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built."--Publisher's website. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Big data. |
| 9 (RLIN) |
348058 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business intelligence. |
| 9 (RLIN) |
314899 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 9 (RLIN) |
328715 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Warren, James, |
| Relator term |
author. |
| 9 (RLIN) |
825871 |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) |
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| c |
28-10-15 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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Book |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) |
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| Operator's initials, OID (RLIN) |
06-04-16 |
| Cataloger's initials, CIN (RLIN) |
m |
| First date, FD (RLIN) |
a |
| -- |
eng |
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nyu |
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0 |
