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.
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media
2015
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| Call Number : | QA 76.9.D3 .D86 2015 |
MARC
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| 020 | |a 9781491914724 (paperback) | ||
| 020 | |a 1491914726 (paperback) | ||
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| 090 | |a QA 76.9.D3 |b .D86 2015 | ||
| 100 | 1 | |a Dunning, Ted, |e author. | |
| 245 | 1 | 0 | |a Time series databases |b new ways to store and access data |c Ted Dunning and Ellen Friedman. |
| 264 | 1 | |a Sebastopol, CA |b O'Reilly Media |c 2015 | |
| 300 | |a vi, 72 pages |b illustrations (some color) |c 23 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (page 71-72) | ||
| 520 | |a 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. | ||
| 592 | |a KE 0010052019 |b 19/09/2019 |c RM 122.55 |h Kaca Enigma | ||
| 650 | 0 | |a Distributed databases. | |
| 700 | 1 | |a Friedman, B. Ellen, |e author. | |
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