Abstract: Facilitating translation of data between object oriented programs and database storage tables. A method includes receiving user input from a user. The user input includes a plurality of parts. Each part includes a specification of a source (such as a type source), optionally a filter, and a projection. Each projection assigns values to table columns. Based on the plurality of parts received, the method includes generating one or more views. The one or more views describe relationships between model extents and database tables.

Abstract: Query expressions, such as LINQ (language integrated queries) queries, are enabled to be translated to URIs (uniform resource indicators) that may be used to query data sources at REST (representational state transfer) interfaces. A compiler is configured to convert a query into an expression tree. An expression tree normalizer is configured to normalize the expression tree into a normalized expression tree. A resource bound expression tree generator is configured to transform the normalized expression tree into a resource bound expression tree. A URI generator is configured to translate the resource bound expression tree into a URI.

Abstract: Facilitating translation of data between object oriented programs and database storage tables. A method includes receiving user input from a user. The user input includes a plurality of parts. Each part includes a specification of a source (such as a type source), optionally a filter, and a projection. Each projection assigns values to table columns. Based on the plurality of parts received, the method includes generating one or more views. The one or more views describe relationships between model extents and database tables.

Abstract: Systems and methods that translate queries defined by an entity model, to a dialect recognizable by storage provider (e.g., relational store). A bridge component facilitates translation of a rich object structure into flat relational constructs, which can then be executed by a relational store. Accordingly, queries defined by applications in terms of entity concepts can readily be employed in conjunction with relational data stores. Similarly, results obtained from executing the query can be converted back to a form understandable by the application.

Abstract: A query language has support for rich data types. A query language system contains an application configured to generate queries according to the query language. In addition, the system has a platform for handling queries that are generated using the provided query language. The platform contains an object services layer, a map provider layer, and a bridge layer which may ultimately interface with a variety of commercially available databases.

Abstract: Query expressions, such as LINQ (language integrated queries) queries, are enabled to be translated to URIs (uniform resource indicators) that may be used to query data sources at REST (representational state transfer) interfaces. A compiler is configured to convert a query into an expression tree. An expression tree normalizer is configured to normalize the expression tree into a normalized expression tree. A resource bound expression tree generator is configured to transform the normalized expression tree into a resource bound expression tree. A URI generator is configured to translate the resource bound expression tree into a URI.

Abstract: Systems and methods that translate queries defined by an entity model, to a dialect recognizable by storage provider (e.g., relational store). A bridge component facilitates translation of a rich object structure into flat relational constructs, which can then be executed by a relational store. Accordingly, queries defined by applications in terms of entity concepts can readily be employed in conjunction with relational data stores. Similarly, results obtained from executing the query can be converted back to a form understandable by the application.

Abstract: Systems and methods that provide for a canonical representation in a structured form of a query, against a data model platform. A parser component can parse the SQL query to generate the abstract class that represent the query (command tree). Moreover, a view generation component can supply a mapping between a rich structure (e.g., on the client side) and the relational side. Accordingly, a query can be represented by an abstract class in form of a tree structure with nodes, which has metadata tied therewith.

Abstract: Data management between a common data store and multiple applications of multiple disparate application frameworks. A data storage component is provided that facilitates the storage of data, which data includes structured, semi-structured, and unstructured data. A common data platform interfaces to the data storage component to provide data services accessible by a plurality of disparate application frameworks, which data services allow a corresponding application of the different frameworks to access the data.