Advantages of N-Tier application1. N-Tier applications are easy t.pdf

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Advantages of N-Tier application: 1. N-Tier applications are easy to test.Each component can be tested individually. 2. All tiers of application can be developed indepently and parallely. 3. If any of the layer changes for eg. database layer, it makes it easy to switch to the new database with minimal changes in the code and some time just configuration changes (like driver class, dialect, etc.) are sufficient. 4. Code is easy to maintain due to less decoupling between various layers of the system. 5. As we have a clear separation between the various tiers applications of such nature are easy to debug when might you just keep everything in one place : When Time to Market is driving the efforts you would rather prefer having a minimal viable product rather than designing a N - tiered application. When you are trying out some new technology or designing a POC having everything in one place actually would be faster for instacnce a Python script to extract some data from database for buisness analytics applications. Most of the buisness analytics scripts are of such nature, they extract some kind of data once to look at some pattterns in the data and then throw away that script or never use that script , so for them something very quick to develop makes lot of sense. Solution Advantages of N-Tier application: 1. N-Tier applications are easy to test.Each component can be tested individually. 2. All tiers of application can be developed indepently and parallely. 3. If any of the layer changes for eg. database layer, it makes it easy to switch to the new database with minimal changes in the code and some time just configuration changes (like driver class, dialect, etc.) are sufficient. 4. Code is easy to maintain due to less decoupling between various layers of the system. 5. As we have a clear separation between the various tiers applications of such nature are easy to debug when might you just keep everything in one place : When Time to Market is driving the efforts you would rather prefer having a minimal viable product rather than designing a N - tiered application. When you are trying out some new technology or designing a POC having everything in one place actually would be faster for instacnce a Python script to extract some data from database for buisness analytics applications. Most of the buisness analytics scripts are of such nature, they extract some kind of data once to look at some pattterns in the data and then throw away that script or never use that script , so for them something very quick to develop makes lot of sense..

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for buisness analytics applications.
Most of the buisness analytics scripts are of such nature, they extract some kind of data once to
look at some pattterns in the data and then throw away that script or never use that script , so for
them something very quick to develop makes lot of sense.

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