Database Reference
In-Depth Information
A New Look at Time Series Databases
These examples illustrate how valuable multiple observations made over time can be when
stored and analyzed effectively. New methods are appearing for building time series data-
bases that are able to handle very large datasets. For this reason, this topic examines how
large-scale time series data can best be collected, persisted, and accessed for analysis. It does
not focus on methods for analyzing time series, although some of these methods were dis-
cussed in our previous book on anomaly detection. Nor is the topic report intended as a com-
prehensive survey of the topic of time series data storage. Instead, we explore some of the
fundamental issues connected with new types of time series databases (TSDB) and describe
in general how you can use this type of data to advantage. We also give you tips that to make
it easier to store and access time series data cost effectively and with excellent performance.
Throughout, this topic focuses on the practical aspects of time series databases.
Before we explore the details of how to build better time series databases, let's first look at
several modern situations in which large-scale times series are useful.
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From image digitized by
http://www.oldweather.org
and provided via
http://www.naval-history.net
.
Image modified by Ellen Friedman and Ted Dunning.
