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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
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Origin: U.S.A.
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Thursday, June 27 and
Wednesday, July 10.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
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Origin: Spain
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, June 14 and
Tuesday, June 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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