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It may sound odd to say that putting the data access layer on the same machine as the business logic can increase fault tolerance, but consider the case of web farms, in which each web server is identical to all the others. Putting the data access code on the web servers provides automatic redundancy of the data access layer along with the business logic and UI layers. Adding an extra physical tier just to do the data access makes fault tolerance harder to implement, because it increases the number of tiers in which redundancy needs to be implemented. As a side effect, adding more physical tiers also reduces performance for a single user, so it s not something that should be done lightly.

12.6 Summary

Logically defining data access as a separate layer enforces a separation between the business logic and any interaction with a database (or any other data source). This separation provides the flexibility to choose later whether to run the data access code on the same machine as the business logic, or on a separate machine. It also makes it much easier to change data sources without affecting the application. This is important because it enables switching from one database vendor to another at some point. This separation is useful for another reason: Microsoft has a habit of changing data access technologies every three years or so, meaning that it is necessary to rewrite the data access code

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The n-level undo functionality of CSLA .NET is discussed in detail in 13. It is also discussed to some degree in 10 because n-level undo is used to provide important functionality for data binding. There are several points in n-level undo and data binding, where parent and child objects must interact with each other. I won t discuss the details here; you can refer to s 10 and 13.

In this chapter, we ve taken quite a deep dive into using both the StorageClient library and the Table service REST API. You ve learned how to use the REST API to modify tables in a storage account, and to perform CRUD functions against those tables. We also looked at the AtomPub format and at how this impacts your applications. Finally, we looked at how you can efficiently update and query data. By gaining an understanding of the REST API, you can maximize the performance of your applications and understand the limits of the service. Based on the last two chapters, you should now have a pretty good idea of how to use the Table service. Later on in the book, we ll look at how you can apply this knowledge in your applications. For now, we ll continue with our focus on structured data and look at SQL Azure, the relational database in the cloud.

to keep up (remember DAO, RDO, ADO 1.0, ADO 2.0, and now ADO.NET ). By isolating the data access code into a specific layer, the impact of these changes is limited to a smaller part of the application. Data access mechanisms are typically implemented as a set of services, with each service being a procedure that s called by the business logic to retrieve, insert, update, or delete data. Although these services are often constructed using objects, it s important to recognize that the designs for an effective data access layer are really quite procedural in nature. Attempts to force more object-oriented designs for relational database access often result in increased complexity or decreased performance. I think the best approach is to implement the data access as a set of methods, but encapsulate those methods within objects to keep them logically organized.

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