Data historian platform for engineering, technology and operations teams

dataPARC’s next-generation data historian platform is aimed at delivering federated plant operations data to engineering, technology and operations teams. The new solution boasts improved performance, enhanced security and broadened manufacturing intelligence capabilities. Notably, the platform’s open design supports other vendor historians and enables seamless integration with third-party cloud AI, ML and data warehousing applications, fostering enhanced efficiency and adaptability in the constantly evolving manufacturing sector.

dataPARC customers will see a significant increase in performance speed, cutting load times in half for custom calculations. Customers can also use dataPARC historian data to support AI and machine learning modeling in the cloud. For example, a predictive use case may have historian data transferred to the cloud for analysis and the modeled data delivered back to manufacturing operations management applications to highlight the source of potential or recurring maintenance or process upsets.

Another use case is to allow stakeholders to quickly access data regardless of where it resides. The goal is for every data call to perform as though the user is local to the data historian, ensuring that remote experts assisting multiple industrial plants experience the same performance as local plant engineers. With an emphasis on openness, the overall architecture allows for easy integration of other vendor historians and provides an SDK for third-party

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