A collection of 8 posts
A few posts back I wrote about the benefits of having a well encapsulated data access implementation. One of the benefits outlined there was the advantage it may bring when we need to implement row-level authorization at the data access level. In this post, I will detail this implementation on
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This is the last part of the "Data Isolation and Sharing in a Multitenant System" article, which is also a continuation of my post that outlines the benefits of a well encapsulated data access. In this post, we'll look in detail at the implementation of the
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This post is the second part of the article that shows how a well encapsulated data access implementation can play a key role in implementing a multitenant application. It is also a continuation of my post that outlines the additional benefits such a data access implementation may bring, multitenancy being
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In the previous post I've shown few of the additional benefits a well encapsulated data access implementation brings. Implementing multitenancy is one of them. This article continues the previous, picks up the multitenancy context from there, and shows how we can address one of the most important design
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We all know that achieving a good Separation of Concerns is good, because it increases the maintainability and it reduces the cost of changing our code. This pays off big time in long running projects, with large code bases where changing code is a big part of the coding activity
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When writing unit tests one of the challenges is to isolate your tests from everything. To isolate them from the code that is not in their target and also from the other tests. As Roy Osherove puts it in his book “The Art of Unit Testing [...] a unit test should
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In my previous post I have presented a way to separate your data access from the business logic, when a relational database is used. I have shown another implementation of the well-known Repository pattern. Since Martin Fowler described it in his book Patterns of Enterprise Application Architecture it became one
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In our days most of the applications that have a relational database as storage, use an ORM to access the data. The ORM (Entity Framework, Hibernate, etc.) does most of the data access implementation. Many of them have a modern API for querying data and for creating sessions of editing
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