Time Series Databases: New Ways to Store and Access Data
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Product Details
Author:
Ted Dunning, Ellen Friedman
Format:
Paperback
Pages:
82
Publisher:
O'Reilly Media (January 13, 2015)
Language:
English
ISBN-13:
9781491914724
ISBN-10:
1491914726
Dimensions:
6" x 9"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260624163447-20260624.xml
Folder:
TWO RIVERS
List Price:
$24.99
As low as:
$19.24
Publisher Identifier:
P-PER
Discount Code:
A
Case Pack:
100
Country of Origin:
United States
Weight:
4.32oz
Imprint:
O'Reilly Media
Overview
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.
