Foundations for architecting data solutions. (Record no. 8840)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02060nam a22002657a 4500 |
| 001 - CONTROL NUMBER | |
| control field | WIIW0000169 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190802143607.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | a|||||q|||||00| 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | c| |||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190802t2018 |||||q|||||00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-1-4920-3871-9 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | OSt |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Malaska, Ted |
| Relator code | aut |
| 245 10 - TITLE STATEMENT | |
| Title | Foundations for architecting data solutions. |
| Remainder of title | Managing successful data projects |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition |
| 260 1# - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Beijing |
| -- | Boston |
| -- | Farnham |
| -- | Sebastopol |
| -- | Tokyo |
| Name of publisher, distributor, etc. | O'Reilly |
| Date of publication, distribution, etc. | September 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XII, 173 S. |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects. Everyone from CIOs and COOs to lead architects and developers will explore a variety of big data architectures and applications, from massive data pipelines to web-scale applications. Each chapter addresses a piece of the software development life cycle and identifies patterns to maximize long-term success throughout the life of your project. Start the planning process by considering the key data project types. Use guidelines to evaluate and select data management solutions. Reduce risk related to technology, your team, and vague requirements. Explore system interface design using APIs, REST, and pub/sub systems. Choose the right distributed storage system for your big data system. Plan and implement metadata collections for your data architectureUse data pipelines to ensure data integrity from source to final storage. Evaluate the attributes of various engines for processing the data you collect. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Analyses & Machine Learning |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Seidman, Jonathan |
| Relator code | aut |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | E-Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| WIIW | WIIW | Electronic Resources | 08/02/2019 | 08/02/2019 | 08/02/2019 | E-Book |