Bridge the OT-IT Gap for DataOps at the Edge

Cloud services have become a key component of digital transformation because of their ability to store, process, and analyze large amounts of data in a centralized location. However, integrating industrial data with enterprise systems in the Cloud has proved to be challenging for many industrials. Bridging the OT-IT gap requires a solution that can merge real-time, transactional, and time-series data into a single payload, model and contextualize this data, exchange information with Cloud services, and deliver an agile architecture. Bridging the OT-IT gap requires an Edge-native DataOps approach. 

In this 35-minute episode, HighByte's John Harrington and Rajesh Gomatam Ph.D., Principal Partner Solutions at AWS, discuss how to collect and transform industrial data from various sources, including AVEVA PI System, and prepare the data for analytics on AWS. John shares 4 real-world use cases of industrial companies leveraging DataOps at the Edge to achieve multi-system integration, high-resolution data analytics, multi-site monitoring, and Cloud-to-Edge execution. Viewers will gain an understanding of data modeling and architectural best practices through these 4 use cases.