Moving Sensor Data from Factory Equipment Using MQTT, Modbus, and OPC-UA to the Cloud
Session date: May 19, 2020 08:00am (Pacific Time)
In order to develop efficient IoT solutions, you need data - especially in the context of using AI and Machine Learning frameworks to help with determining predictive maintenance for your important industrial equipment.
In this webinar, we will review the various ways you can collect and store sensor data using powerful protocols such as MQTT, Modbus, OPC-UA, and even Kafka in your traditional or modern cloud-native deployments. Not only does it help with higher data collection, but these protocols help reduce network bandwidth requirements leading to lower total cost of operations.
Chris Churilo
VP of Marketing, InfluxData
Chris Churilo helps businesses build passionate teams that market to the developer audience by building content and programs that are engaging, and drives demand for the product that results in revenue. As the Vice President of Marketing at InfluxData, she has oversight of day-to-day marketing operations to ensure that growth marketing, comms, digital, partner and customer marketing as well as demand gen all function as a tight cohesive unit aligned with the company’s goals. For Chris, sharing the cool projects that developers build with InfluxDB is the most rewarding part of the role. Outside of the office, Chris enjoys singing to her dog, kick-starting her nonprofit, and downwinding on her paddleboard across the bay.
Craig Hobbs
Sr. Solutions Consultant, PagerDuty
Craig Hobbs is a Partner Engineer at InfluxData. His experience with keeping systems performant over the years has helped to shape the kind of Sales Engineer he is today – one who enjoys solving complex problems and keeping sales people honest. His specialties include: Solution Architect, Project Management, POC Design and Development, Software Customization, Technical Training, ETL Automation, Application Integration and Deployment. Craig has a BS from the University of Illinois.
