By enabling you to perform the remaining query in memory rather than against the original data source, LINQ's AsEnumerable method can be utilized to eliminate needless data extraction from a data source. When you use the AsEnumerable method on a LINQ query, the results are returned as an IEnumerableT> object after the query has been executed against the original data source up to that point. Instead of using the original data source, any following operations in the query are carried out in memory on the resulting IEnumerableT> object.   In order to prevent needless data extraction from a data source, utilize the AsEnumerable method as demonstrated in the following example:  using (var context = new MyDbContext())
{
var students = from s in context.Students.AsEnumerable()
where s.Age > 18
select s;
// further query processing in memory
var passedStudents = students.Where(s=>s.Grade>=60);
} In this illustration, the context receives a call to the AsEnumerable method. Students submit a query, and the query is conducted against the original data source up until that time. An IEnumerableStudent> object is delivered as the result. On the resulting IEnumerableStudent> object, all future operations in the query, such as filtering by grade, are carried out in memory.   When working with a large dataset and only needing to extract a small part of the data but needing to run further queries in memory, this could be helpful.   In conclusion, LINQ's AsEnumerable method enables you to execute the remaining parts of a query against memory rather than the original data source, preventing the need to extract unneeded data from a data source. When you use the AsEnumerable method on a LINQ query, the results are returned as an IEnumerableT> object after the query has been executed against the original data source up to that point. Instead of using the original data source, any following operations in the query are carried out in memory on the resulting IEnumerableT> object. When working with a large dataset and only needing to extract a small part of the data but needing to run further queries in memory, this could be helpful.