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Time series databases : new ways to store and access data /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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|---|---|---|---|
| 001 | OR_ocn899606849 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 150108s2014 caua ob 000 0 eng d | ||
| 010 | |a 2016439289 | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Dunning, Ted, |d 1956- |e author. | |
| 245 | 1 | 0 | |a Time series databases : |b new ways to store and access data / |c Ted Dunning, Ellen Friedman. |
| 246 | 3 | 0 | |a New ways to store and access data |
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 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 | ||
| 347 | |a text file | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed January 5, 2015). | |
| 504 | |a Includes bibliographical references. | ||
| 520 | 8 | |a Annotation |b Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. Youll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion. Youll learn:A variety of time series use casesThe advantages of NoSQL databases for large-scale time series dataNoSQL table design for high-performance time series databasesThe benefits and limitations of OpenTSDBHow to access data in OpenTSDB using R, Go, and RubyHow time series databases contribute to practical machine learning projectsHow to handle the added complexity of geo-temporal dataFor advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Time-series analysis |x Data processing. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 2 | |a Information Systems | |
| 650 | 6 | |a Série chronologique |x Informatique. | |
| 650 | 6 | |a Systèmes d'information. | |
| 650 | 7 | |a Information storage and retrieval systems |2 fast | |
| 650 | 7 | |a Time-series analysis |x Data processing |2 fast | |
| 700 | 1 | |a Friedman, B. Ellen, |e author. | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |a Dunning, Ted |t Time series databases |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781491920909/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||