Database Reference
In-Depth Information
carry out a test of a very large volume database. This novel design has achieved rates as high
as 100 million data points a second, a stunning advancement.
We've also described some of the ways in which time series data is useful in practical ma-
chine learning. For example, models based on the combination of a time series database for
sensor measurements and long-term, detailed maintenance histories make it possible to do
predictive maintenance scheduling. This topic also looked at the advanced topic of building a
geo-temporal database.
Looking to the Future
What's next? The sky's the limit…and so is the ocean, the farm, your cell phone, the stock
market, medical nano-sensors implanted in your body, and possibly the clothes you are wear-
ing. We started our discussion with some pioneering examples of extremely valuable insights
discovered through patterns and trends in time series data. From the Winds and Current
Charts of Maury and the long-term environmental monitoring started by Keeling with his
CO
2
measurements to the modern exploration of our planet by remote sensors, time series
data has been shown to be a rich resource. And now, as we move into uncharted waters of
new invention, who knows where the journey will take us?
The exciting thing is that by building the fundamental tools and approaches described here,
the foundation is in place to support innovations with time series data. The rest is up to your
imagination.
