Microsoft Technology Licensing, LLC

Rou-Peng Huang

Mark Xiaohong Yang

Randy Dong

Xiaohong Mark Yang

Pablo Jose Barvo

Rajeev V Karunakaran

Peter Bull

Peiyuan Yan

Lewis Charles Levin

Rohan Shetty

Jeffrey Wang

Scott Sebelsky

Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.

Scalable selection management

Techniques to implement time intelligence for application program are described. An apparatus may include a calendar application module. The calendar application module may be arranged to define and generate a calendar for an application program, the calendar application module to define time members for a time dimension of a multidimensional data model, assign a monotonically increasing unique identifier to each time member, and generate the calendar with time members from the time dimension using the unique identifiers. Other embodiments are described and claimed.

Time intelligence for application programs

Financial intelligence architecture that employs financial types that are combined with rules to build financial behavior into the product. Types have behaviors such that types can be assigned that lead to the physical creation of underlying code which embodies the behaviors. Extensibility is provided at least by type parameterization and new type creation. Because types are a design time experience, types are two-way and can be modified, even after instantiation. This allows for mixing and matching of types and underlying behavior giving the system more flexibility at design time while providing a huge simplification of all the details that actually go into such financial applications. The type library is a set of rules that produce metadata, which metadata is later processed by a separate engine to produce the physical schema. The type library defines the basic interactions, data types, and behaviors for predefined dimensions in the system.

Type-driven rules for financial intellegence

Computer-implemented methods, computer-readable media, and an application system are disclosed for creating and deploying metadata-generated applications. Access is provided to one or more type libraries that each include one or more defined object types configurable for use in generating the application. The defined object types include data structure types, rule types, and data types. Input is elicited from a user regarding desired content and function of the application. Based on the user input, metadata is generated to adapt the defined object types to generate the application. Metadata is generated to adapt the defined data structure types to create one or more application databases, to adapt the defined rule types to create one or more application behaviors, and to adapt the defined data types to create one or more application data types.

Metadata-based application deployment

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Woodinville, WA, United States of America

Rou-Peng Huang