Abstract: As the number of sensors and devices in the Internet of Things (IoT) increases by a CAGR of ~25%, i.e. doubles every 3 years, a critical question that arises is how to store, analyze and take quick actions on the massive amounts of time-series data for real-time applications for oil and gas, manufacturing, health, weather, seismic, security, and other industries. TDengine is developed specifically to address this need and can run on Edge devices with 16MB of memory. It supports ARM32, ARM64 Lots of developers in China even play TDengine on Raspberry. Compared with InfluxDB, TimeScaleDB and other TSDBs, this is our big competitive advantage. Topics to be covered: – The standard way to process Big Data – Characteristics of time-series data – Innovative design of TDengine – Why open source TDengine? – Use Cases Speaker(s): Jeff Tao, Agenda: 12:00 – 12:05 PM CTSoc Introduction 12:05 – 12:45 PM Main Speaker Topics to be covered: – The standard way to process Big Data – Characteristics of time-series data – Innovative design of TDengine – Why open source TDengine? – Use Cases 12:45 – 1:00 PM Q&A Virtual: https://events.vtools.ieee.org/m/306506