Our world is full of various processes: tracking of goods delivery, currencies trading, monitoring of server resources, hotel bookings, selling goods or services etc. Since these processes occur over time, they can be described by time series data.

Successful businesses always take advantage of their data by analyzing it and then making predictions (e.g. predicting volume of sales for the next month) and business decisions (e.g. if the volume of sales grows then additional goods need to delivered to a warehouse).

There are a number of technologies for analysing the time series data. This article gives an introduction to one of them which is called TimescaleDB which is an open source solution for time series data analysis based on battle-tested PostgreSQL DBMS.


Author:Alexander Ryndin
Tags:time series, timescale, postgres, postgresql, openshift