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Quick Object's designer added support for adding multiple custom templates for code generation. V4.0 also added support for LINQ and enabled the capability to specify queries in LINQ and run them against any of the supported databases. On April 7, 2008, Version 3.5 was released with a new free edition of the product called Community Edition.
Language Integrated Query (LINQ, pronounced "link") is a Microsoft.NET Framework component that adds native data querying capabilities to .NET languages, originally released as a major part of .NET Framework 3.5 in 2007.
//Add a Customer to the datastore //'sessionFactory' is a thread-safe object built once per application lifetime (can take seconds to build) //based on configuration files which control how database tables are mapped to C# objects //(e.g. which property maps to which column in a database table) // //'session' is not thread safe and fast to ...
Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language.
Entity Framework (EF) is an open source [2] object–relational mapping (ORM) framework for ADO.NET.It was originally shipped as an integral part of .NET Framework, however starting with Entity Framework version 6.0 it has been delivered separately from the .NET Framework.
For example, to perform an element by element sum of two arrays, a and b to produce a third c, it is only necessary to write c = a + b In addition to support for vectorized arithmetic and relational operations, these languages also vectorize common mathematical functions such as sine.
The column set of the base table is the union of the column sets of these logical tables. Tagged columns make this possible because of their good handling of both multi-valued and sparse valued data. Since related data is stored together in the same record, it is accessed together thereby minimizing the number of disk accesses to perform the join.
The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.