Building a Future-Ready Industrial Data Architecture
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Access to historical process data is no longer just an operational necessity; it’s the foundation for advanced analytics, regulatory compliance, and successful AI implementation. Yet many manufacturers struggle to understand how the most widely used data storage systems differ, and how to design a cohesive architecture that meets their unique data goals.
This webinar takes a deep dive into industrial historians, data lakes, and time-series databases to explain how each system is designed, where it excels, and how they work together to scale from real-time operations to advanced analytics and predictive modeling. Whether you’re evaluating your first historian implementation or modernizing an enterprise-wide data stack, you’ll leave with a clear framework for turning today’s data storage options into a scalable, future-ready industrial data architecture.
Key Takeaways:
- A practical comparison of industrial historians, data lakes, and time-series databases
- How to design a data architecture that supports operations, compliance, and AI
- Strategies for centralizing and contextualizing process data to improve production outcomes
- How AI and advanced analytics are reshaping industrial data management decisions
Speakers:
Kevin Jones
Director of Partner & Product Strategy
dataPARC
Kevin Jones has over 25 years of experience delivering decision support and industrial data systems to industries including Oil and Gas, Paper, Mining, Energy & Utilities, and Chemical Manufacturing. He holds a BS in Chemical Engineering from the University of Idaho and has a diverse background ranging from engineering to sales management. Kevin currently serves as the Director of Partner & Product Strategy at dataPARC.
Adam Cooper
Senior Sales Engineer
dataPARC
Adam Cooper has spent over 15 years at dataPARC, moving from a Process Engineer role to his current position as Senior Sales Engineer. During this time, he's managed projects for clients in the US, China, Taiwan, and Indonesia. His work involves project management, system implementation, and training on dataPARC applications. Adam also collaborates with the sales and development teams to scope new projects and implement new features. He holds dual BS degrees from the University of Washington in Paper Science and Engineering, and Chemical Engineering.
