How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB
Date: Thursday, April 14th at 11am PT / 2pm ET
Prescient Devices is the creator of a low-code DataOps solution for the edge. Prescient Devices’ flagship product, Prescient Designer, is a simple, graphical, and programmable SaaS workflow development platform which helps clients to work with time series data at the edge. It enables IT/OT teams, data engineers and system integrators to build and manage agile data pipelines with zero lines of code.
Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards. By using a time series database, their customers make distributed data operations, such as ETL and edge analytics, faster and more convenient for end users.
Join this webinar as Pablo Acosta and Ashish Yadav dive into:
- Prescient Devices’ approach to building advanced edge-to-cloud data pipelines
- How to store, retrieve, and aggregate data from the edge for distributed data operations
- Their methodology to using a time series database for distributed ETL and edge analytics
About the presenters:
Pablo Acosta, Ph.D., VP Engineering, Prescient Devices
Dr. Pablo Acosta is a senior technologist whose extensive and comprehensive experience includes challenging high-speed mixed-signal IC design, signal processing algorithms, EDA tool development, and authoring industry standards. Pablo’s multi-million-dollar products have been used in a broad range of sectors, including consumer, professional video, and networking. Pablo received a Ph.D. in electrical engineering from the Massachusetts Institute of Technology. He has published several papers in peer-reviewed journals and is the principal inventor in four patents.
Ashish Yadav, Director of Software Development, Prescient Devices
Ashish Yadav leads the full-stack development of Prescient Devices’ IoT design automation platform — Prescient Designer. He has extensive experience in distributed IoT systems, applications, and various software and hardware technologies and holds an MS in Electrical Engineering and Computer Science from the University of California, Merced.