Introduction to Time Series

A presentation at Dublin PHP in in Dublin, Ireland by David McKay

Time-Series has been the fastest growing database category, rated by DBEngines, for over 2 years; yet, less than 15% of organisations store their time-series data in a time-series database. Do you?

One could, accurately, say that time-series data is as old as the universe; but it wasn’t until the mid-19th century that the first article was published on the concept: A Comparison of the Fluctuations in the Price of Wheat and in the Cotton and Silk Imports into Great Britain by J. H. Poynting (March 1884).

Time-Series data is so natural and common that you actually consume, evaluate, and utilise it everyday; when you’re:

Paying for your morning coffee Sighing at the “Delayed” notice on your commute Ploughing through your email inbox In this talk we will look at the different types of time-series data and how to use that to drive observations, understanding, and automation.

Most data is best understood in the dimension of time, lets see why.

Buzz and feedback

Here’s what was said about this presentation on social media.