MapReduce Design Patterns (Record no. 2450)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01842nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200219160201.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200117b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-93-5023-981-0 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 7084 |
| Bill Date | 13/01/2020 |
| Purchase Year | 2019-20 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Item number | MIN |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Miner, Donald |
| 245 ## - TITLE STATEMENT | |
| Title | MapReduce Design Patterns |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Mumbai |
| Name of publisher, distributor, etc. | Shroff Publishers & Distributors Pvt. Ltd. |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 232 |
| 500 ## - GENERAL NOTE | |
| General note | Until now, design patterns for the MapReduceframework have been scattered among various research papers, blogs, and books.This handy guide brings together a unique collection of valuable MapReducepatterns that will save you time and effort regardless of the domain, language,or development framework you’re using.<br/><br/>Eachpattern is explained in context, with pitfalls and caveats clearly identifiedto help you avoid common design mistakes when modeling your big dataarchitecture. This book also provides a complete overview of MapReduce thatexplains its origins and implementations, and why design patterns are soimportant. <br/><br/>Allcode examples are written for Hadoop.<br/>•Summarization patterns: get a top-level view by summarizing and grouping data<br/>•Filtering patterns: view data subsets such as records generated from one user<br/>•Data organization patterns: reorganize data to work with other systems, or to make MapReduce analysis easier<br/>•Join patterns: analyze different datasets together to discover interesting relationships<br/>•Metapatterns: piece together several patterns to solve multi-stage problems, or to perform several analytics in the same job<br/>•Input and output patterns: customize the way you use Hadoop to load or store data<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Design Pattern |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shook, Adam |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | General Stacks | 01/17/2020 | 675.00 | 005.74 MIN | 018004 | 02/12/2020 | 675.00 | 01/17/2020 | Books |