What is Rockwell FactoryTalk Historian?

Jeremy Oxendine, an Automation Specialist at ES&E, discusses the data used in Digital Transformation. This data may be real-time in nature or historical. Historical information is stored so you can do analytics against it.

But what are the types of data stores used in manufacturing data?

This video discusses the use of data in digital transformation, specifically in manufacturing. He explains that data typically falls into two categories: time series data and relational data. Time series data is logged and saved in time order, such as stock charts or server use over time. This type of data is best stored in a Time Series Historian. Relational data, on the other hand, is collected for data points with a predefined relationship, like a phone book or a recipe. This type of data is best stored in a Relational Database. Jeremy also discusses the advantages of the Historian SE, such as its ability to compress data and manage database files. He also addresses its perceived disadvantage, the ability to put context around the data or create relationships between data points, and explains how the Historian SE solves this problem with an asset framework. Key takeaways from the video include the importance of understanding the types of data and where to store them, the advantages of Historian SE, and the importance of having redundant systems to prevent data loss and ensure data visibility.