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New Message on MumbaiUserGroup

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From: KavindraS
Message 4 in Discussion

Thanx Ajay & Bala for providing information on Typed Dataset. Now I want to take this 
discussion little ahead from here.
Meanwhile, none of you answered last que of mine 
"How good are typed dataset for big enterprise solutions ?? as efficieny becomes 
questionable."
Reason I asked so becoz, we are just to start a major revamp of our Data layer, might 
shift to Typed DataSet  from normal usage of DataReader & SQL queries.
So my biggest worry is :: Is it going to hit efficieny considerably ?? On my current 
project we are using custom business entity objects instead that expose typed 
properties which internally contains a datatable. The custom entity class would also 
have other methods to get/set data plus know how to load data from the database and 
persist it back again.  Main reason for same is that the entities that contain the 
data we use in the application become smart entities that know how to handle their 
data, as opposed to the dataset which is just a container for data and which requires 
a separate class to handle calls against the database. what I felt till now is that 
Typed Dataset are good for learning -- how to get started in .NET but have limited 
benefit for advanced application design. I know  Typed Dataset combines the ability of 
in-memory databases coupled with object oriented and IntelliSens'ed approached. Again 
it very easy to use also . I just dragged and dropped Tables from the Server Explorer 
onto a form or a component class - and start using data adapters to generate a typed 
data set. What I get in return to this 10 minute process is a full schema of the 
database I'm to work with -with classes that match every table, column and 
relationship in it.
It's very good when it comes to create small applications
But then isn't it become arguable "how effective it is in enterprise systems then ??"  
 Looking forward for more replies, because i think its a very interesting if you go 
deep into it.   Thanking you in anticipation. Warm Regards, Kavindra    

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