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Total: ~39 min
How to get the most out of the automated transaction engine, including setups for clustered environments, transacting with other data protocols, and using dynamically addressable data sources.
Datasets can be easily read and written in a variety of ways, but it is also important to be able to manipulate and transform those datasets within a transaction.
Global and local variables are a fast and efficient holding place for data used when executing a transaction, and can be useful for message sharing between systems in the transaction engine.
Dynamic tag writers are distinct from standard data output in that the destination data point can itself be dynamically defined, most commonly by other attributes or conditions within the transaction.
JSON is a structured message format that is popular for real-time communication, especially between MES and IIoT enabled systems. Learn how to both read and compose JSON messages within transactions.
The Information Broker model considers how to share various datasets from disparate systems and in different formats. It leverages many of the tools within the automated transaction workflows to link those systems together.
How to get the best performance out of the automated transactions in high-volume applications. Includes pausing long-running transactions to avoid important transactions being locked out (hibernation) as well as multi-server distribution.