The most relevant use case I can think for reactive programming is data transformation between formats.
Say you have two departments that need to share data, but their data stores are structured in different ways. You can build an automated process that reads data from the first data pool and converts it into the format needed at the second pool, where the other department can use it.
This is a quite common use case in machine learning for example, where data from numerous different sources need to be stored in a centralized pool ('data lake') where the ML process can analyze it to build predictions.
Ok that’s pretty interesting. Some of my employees and coworkers have been complaining about taking things from SharePoint lists and making them in a more “screen friendly” format and removing the manual work. We are pretty locked down into what software we use so maybe we could adapt this.
Say you have two departments that need to share data, but their data stores are structured in different ways. You can build an automated process that reads data from the first data pool and converts it into the format needed at the second pool, where the other department can use it.
This is a quite common use case in machine learning for example, where data from numerous different sources need to be stored in a centralized pool ('data lake') where the ML process can analyze it to build predictions.