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portada Time Series Databases: New Ways to Store and Access Data
Type
Physical Book
Publisher
Year
2014
Language
English
Pages
82
Format
Paperback
Dimensions
22.9x15.2x0.4 cm
Weight
0.12 kg.
ISBN13
9781491914724
Edition No.
1

Time Series Databases: New Ways to Store and Access Data

Ted Dunning (Author) · Ellen Friedman (Author) · O'Reilly Media · Paperback

Time Series Databases: New Ways to Store and Access Data - Dunning, Ted ; Friedman, Ellen

New Book Imported to Taiwan
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Synopsis "Time Series Databases: New Ways to Store and Access Data"

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. You'll 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. You'll learn: A variety of time series use cases The advantages of NoSQL databases for large-scale time series data NoSQL table design for high-performance time series databases The benefits and limitations of OpenTSDB How to access data in OpenTSDB using R, Go, and Ruby How time series databases contribute to practical machine learning projects How to handle the added complexity of geo-temporal data For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.

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