Monday, December 10

Time Series Data

Using Window Functions for Time Series IoT Analytics in Postgres-BDR

Haroon's PlanetPostgreSQL, Internet of Things, Time Series Data
Internet of Things tends to generate large volumes of data at a great velocity. Often times this data is collected from geographically distributed sources and aggregated at a central location for data scientists to perform their magic i.e. find patterns, trends and make predictions. Let’s explore what the IoT Solution using Postgres-BDR has to offer for Data Analytics. Postgres-BDR is offered as an extension on top of PostgreSQL 10 and above. It is not a fork. Therefore, we get the power of complete set of analytic functions that PostgreSQL has to offer. In particular, I am going to play around with PostgreSQL's Window Functions here to analyze a sample of time series data from temperature sensors. Let's take an example of IoT temperature sensor time series data spread over a (more…)