Supercharging Data Historians for Sharing & Advanced Analytics
About
Digital transformation has brought a proliferation of connected sensors to the energy industry, generating a massive volume of valuable data. In this webinar, time series database and industrial automation experts from TDengine and Casne Engineering explore how to supercharge disparate PI systems to enable data centralization and sharing - which is crucial to robust monitoring and analysis. We’ll cover:
- Limitations of data historians for centralizing and sharing time series data.
- Centralizing data across multiple sites.
- Integrating AI and ML tools for analytics
- Sharing data with internal and external stakeholders.
- Future-proofing data systems by integrating open source technologies.
Please join us on June 15 at 10am PT with TDengine's Sean Ely and Casne Engineering's Renner Burkle for this brief but comprehensive review.
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Speakers
Sean Ely
Head of Product, TDengine
As product lead, Sean is focused on making TDengine the best time-series database for Industrial IoT. Sean has spent over a decade in the energy sector, starting as an integrator working on industrial controls and later establishing himself as a subject matter expert in digital transformation and data science.
Renner Burkle
Technical Program Manager, Casne Engineering
Renner designs, implements, and maintains complex process data systems, leveraging cutting edge enterprise software and custom developed solutions. He wields technical expertise in distributed IoT, biopharmaceutical, chemical and datacenter spaces.
