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| ISBN | 9781491914724 |
|---|---|
| Sprache | Englisch |
| Erscheinungsdatum | 13.01.2015 |
| Größe | 228 x 151 mm |
| Verlag | O'Reilly Media |
| Lieferzeit | Lieferung innerhalb von 28 Werktagen |
| Herstellerangaben | Anzeigen Libri GmbH Europaallee 1 | D-36244 Bad Hersfeld gpsr@libri.de |
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 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.
| ISBN | 9781491914724 |
|---|---|
| Sprache | Englisch |
| Erscheinungsdatum | 13.01.2015 |
| Größe | 228 x 151 mm |
| Verlag | O'Reilly Media |
| Lieferzeit | Lieferung innerhalb von 28 Werktagen |
| Herstellerangaben | Anzeigen Libri GmbH Europaallee 1 | D-36244 Bad Hersfeld gpsr@libri.de |
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