An architecture for fast and general data processing on large clusters / (Record no. 876)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04112nam a2200553 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 011452886107 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260609132937.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m eo d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cn |||m|||a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160511s2016 nyua fob 000 0deng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781970001570 |
| Qualifying information | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781970001587 |
| Qualifying information | ePub |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781970001563 |
| Qualifying information | paperback |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781970001594 |
| Qualifying information | hardcover |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1145/2886107 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)949774958 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.D5 |
| Item number | Z242 2016 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.36 |
| Edition information | 23 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)swl00406471 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Zaharia, Matei., |
| Relator term | author. |
| 245 13 - TITLE STATEMENT | |
| Title | An architecture for fast and general data processing on large clusters / |
| Statement of responsibility, etc. | Matei Zaharia. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [New York] : |
| Name of producer, publisher, distributor, manufacturer | Association for Computing Machinery ; |
| Place of production, publication, distribution, manufacture | [San Rafael, California] : |
| Name of producer, publisher, distributor, manufacturer | Morgan & Claypool, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (xii, 128 pages) : |
| Other physical details | illustrations. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | ACM books, |
| International Standard Serial Number | 2374-6777 ; |
| Volume/sequential designation | #11 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (pages 119-128). |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Title from PDF title page (viewed on May 11, 2016). |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | System requirements: Adobe Acrobat Reader. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction -- 1.1 Problems with specialized systems -- 1.2 Resilient distributed datasets (RDDs) -- 1.3 Models implemented over RDDs -- 1.4 Summary of results -- 1.5 Book overview -- |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2. Resilient distributed datasets -- 2.1 Introduction -- 2.2 RDD abstraction -- 2.3 Spark programming interface -- 2.4 Representing RDDs -- 2.5 Implementation -- 2.6 Evaluation -- 2.7 Discussion -- 2.8 Related work -- 2.9 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3. Models built over RDDs -- 3.1 Introduction -- 3.2 Techniques for implementing other models on RDDs -- 3.3 Shark: SQL on RDDs -- 3.4 Implementation -- 3.5 Performance -- 3.6 Combining SQL with complex analytics -- 3.7 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4. Discretized streams -- 4.1 Introduction -- 4.2 Goals and background -- 4.3 Discretized streams (D-streams) -- 4.4 System architecture -- 4.5 Fault and straggler recovery -- 4.6 Evaluation -- 4.7 Discussion -- 4.8 Related work -- 4.9 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5. Generality of RDDs -- 5.1 Introduction -- 5.2 Expressiveness perspective -- 5.3 Systems perspective -- 5.4 Limitations and extensions -- 5.5 Related work -- 5.6 Summary -- |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 6. Conclusion -- 6.1 Lessons learned -- 6.2 Evolution of spark in industry -- 6.3 Future work -- References -- Author's biography. |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electronic data processing |
| General subdivision | Distributed processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Distributed databases. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781970001594 |
| -- | 9781970001563 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | ACM books ; |
| Volume/sequential designation | #11. |
| International Standard Serial Number | 2374-6777 |
| 856 48 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to full text |
| Uniform Resource Identifier | <a href="http://dx.doi.org/10.1145/2886107">http://dx.doi.org/10.1145/2886107</a> |
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