Many software developers are faced with the task of having to balance between the technical vocabularies of a business. In order to decentralize the monolithic data platform, we need to reverse how we think about data, its locality and ownership. Domain driven design is a method used by software developers to simplify the complex process involved in linking an evolving model and the implementation process. Ben Stopfords Data Dichotomy article unpacks the concept of sharing of domain datasets through streams. procedure.Price is not available here. Domain Bounded Context is a wonderfully powerful tool to design the ownership of the datasets. Using (var registrationContext = new RegistrationContext()) ProcedureManagementContext.SaveChanges() SalariedEmployee) in the Accounting context? class Employee But in the Accounting context all that is relevant is the salary reference number and bank account.ĭo you have an Employee entity in the HR context and a Value-Type (e.g. In a modular monolith you want each bounded context to have its own section of the database that it works with, and you can do that with EF Core. In his book of the same title, Eric Evans formulated domain-driven design (DDD) as pattern language. In a monolith you usually have one database used by all the bounded contexts, this provides a way to exchange data between bounded contexts. Domain-Driven Design and Bounded Context.
In (for example) the Human Resources context, this person has a name, surname, address, salary reference number, and bank account. Example 1: Exchanging data via the database. What is a bounded context, ubiquitous language, anti-corruption layer etc. I am trying to understand how entities operate in multiple bounded contexts. In this blog post, I discuss six important concepts in Domain-Driven Design.