Last factor also decisive, blocking decesion maker email list several days or even several

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Weeks for developers on a redesign of the store is very expensive, and in fine the added value to the product from the point of view of the end user, is not sufficient compared to others developments and improvements planned by the roadmap. The decesion maker email list reorganization of the store Who says rearrangement, says above all, understand what is wrong and especially where is it wrong. In our case, the number decesion maker email list and complexity of selectors as well as decesion maker email list reducers , have been mainly targeted . The main objective of this change was above all to avoid reproducing a gas plant, to allow better maintainability and modularity of the data. The store has therefore been divided by business domain, so as to isolate the functionalities and limit the coupling of these as much as possible. I invite you to read the article on the refactor of a file architecture to go further on this point.

Then comes the famous question of responsibility for interactions with the various web services. Although several libraries offer to integrate this management into Redux, such as Thunk or Saga , we have chosen to limit Redux to its primary function, namely a simple state container . Indeed, being already complex in its handling and in its use, adding responsibilities, to a decesion maker email list tool which is not necessarily adapted initially, would only weigh down and complicate the structure, already unstable. Limited to its primary function, the standardization and structuring of data then arise. To answer this, the question to ask is simple: How does my application present data? This decesion maker email list question makes it easy to predict how the decesion maker email list data should be structured to avoid transformations, on demand, which are often costly in resources. In general, a standard standardization often emerges on projects, it consists of four points: Each type of data has its own "table" in the store. Each "data table" should individually store the elements in an object, with the IDs of the elements as keys and the elements themselves as values.