Ana Tavares

The intermittent energy project is a global energy grid analytics platform that processes and analyzes power grid data (a.k.a. time-series data) from over 40 countries. Created by Morgan Christiansson to test the assertion that “the wind is always blowing somewhere,” the project leverages publicly available energy data to shed light on energy transition discussions.

If you are working with a database, especially with time-series data, then you have likely faced the challenge of handling high-cardinality data. In particular, time-series high cardinality is a common problem in industrial IoT (e.g., manufacturing, oil & gas, utilities), as well as some monitoring and event data workloads.

This is an installment of our “Community Member Spotlight” series, in which we invite our customers to share their work, spotlight their success, and inspire others with new ways to use technology to solve problems. In this edition, Chris Morris, SCADA (Supervisory Control and Data Acquisition) Manager at WaterBridge, an Oil & Gas production water reuse and disposal company, shares how his team is using TimescaleDB.