ISA Tarheel Section April Meeting: Time-series data platform for industrial IoT
When: April 27th 12-1PM ZOOM: See below
Bio - Sean Ely
Sean Ely is TDengine's Head of Product, focused on making TDengine the best time-series platform for industrial IoT. Sean has spent over a decade working with time-series data, starting as an integrator working on industrial controls and later establishing himself as a subject matter expert in emerging technology, innovation, and data science for the energy industry.
TDengine
Released as open-source software in 2019, TDengine has over 20,000 stars on GitHub and over 190,000 installations across 50 countries worldwide. TDengine combines a database with caching, stream processing, and data subscription as a complete, purpose-built solution for time-series data.
In 2022, the company unveiled TDengine 3.0, delivering a fully distributed architecture that decouples compute and storage resources for dynamic scaling and deployment across public, private, and hybrid clouds. Later that year, it also released TDengine Cloud, a fully managed time-series database solution that delivers the industry-leading performance of TDengine 3.0 as a cloud service. Recently, it revealed the TDengine PI Connector, further expanding the TDengine data platform to help industrial users process time-series data efficiently.
Company Website: https://tdengine.com/
LinkedIn: https://www.linkedin.com/company/tdengine/
Youtube: https://www.youtube.com/@tdengine
Presentation Outline
● Intro to TDengine, a modern platform purpose built for time series data
● Similarities and Differences between TDengine and a Relational SQL DB and Aveva PI
● Simplify your data historian architecture
● Expand your PI system with a modern, real-time data analytics platform
● Q&A
JOIN:
https://tdengine.zoom.us/j/82825775946?pwd=WE02emRnc1FYazh0a1A5K3k0S3ZRQT09