Hidden Bibliographic Details
| Varying Form of Title: | New ways to store and access data
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| Other authors / contributors: | Friedman, B. Ellen, author.
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| ISBN: | 1491914726
9781491914724
9781491914724
1491920904
9781491920909
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| Digital file characteristics: | text file
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| Notes: | Includes bibliographical references.
English.
Online resource; title from title page (Safari, viewed January 5, 2015).
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| Summary: | Annotation 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.
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| Other form: | Erscheint auch als Online-Ausgabe Dunning, Ted Time series databases
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| Standard no.: | 9781491914724
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