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Foundations for architecting data solutions : managing successful data projects /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
2018.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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|---|---|---|---|
| 001 | OR_on1089811461 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 190313s2018 caua o 001 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d VT2 |d UWO |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO | ||
| 020 | |z 9781492038740 | ||
| 035 | |a (OCoLC)1089811461 | ||
| 037 | |a CL0501000033 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.B45 | |
| 082 | 0 | 4 | |a 005.7 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Malaska, Ted, |e author. | |
| 245 | 1 | 0 | |a Foundations for architecting data solutions : |b managing successful data projects / |c Ted Malaska and Jonathan Seidman. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c 2018. | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed March 11, 2019). | |
| 500 | |a Includes index. | ||
| 520 | 8 | |a Annotation |b Foundations for Architecting Data Solutions provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects. This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications. Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project. You'll learn how to:Build a Big Data center of excellence in your company for the first timeIdentify and manage risk in your data projectRetain and motivate teams to increase engagement and innovationMaximize Big Data ROI and align cost structure to help your company attain success. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 700 | 1 | |a Seidman, Jonathan, |e author. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781492038733/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||