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NET data source controls, demonstrates how you can bind to data to allow users to interact with it, and presents the new Dynamic Data features of ASP.NET that allow you to easily create websites for working with the CRUD operations of an entire data model that exists as either a Data Context (such as LINQ to SQL) or an Object Context (such as LINQ to Entities). NET provides several server controls that build on top of the features of Microsoft ADO. These controls simplify the development of data-driven websites.Please use the database structure given below, if you want to try the following examples directly.I am assuming, you already know how to create dbml/linq to sql classes: Being Lin Q as a ORM, it’s quite easy and sql syntax free way to insert data using Lin Q.Recently, I have discussed about getting started linq to sql in c#That articles also covered for creating select query for retrieving both single and multiple results.The last lesson presents the new Dynamic Data features of ASP.NET that allow you to easily create websites for working with the create, read, update, and delete (CRUD) operations of an entire data model that exists as either a Data Context (such as LINQ to SQL) or an Object Context (such as LINQ to Entities).
In addition, you should be comfortable with all of the following: REAL WORLD: Mike Snell Not all applications require developers to write custom, abstracted data layers and reusable frameworks.
The application can manipulate the objects while LINQ to SQL stays in the background, tracking changes to the data automatically.
LINQ does not aim to circumvent a data abstraction layer at the database level, based on stored procedures; in fact it makes their use easier for the programmer.
They make it easier to build webpages that access, display, manipulate, and save data. You use these controls to configure access to data that you intend to use on a webpage.
Using these controls can provide development efficiency when you are building business applications that rely heavily on data. A data source can be a relational database, data stored inside of in-memory objects (such as a Data Set or an Entity Data Model), XML-based data, or data you retrieve via Microsoft Language-Integrated Query (LINQ).