Microsoft Technology Licensing, LLC

Zhongwei Wu

Andrew Eyring Kimball

Jeffrey Robert Currier

Xiaoyu Wu

Lev Novik

Nigel Robin Ellis

Tomas Talius

Shankar Pal

Oliver Nicholas Seeliger

Bruno H M Denuit

Xun Fan

Christian Rober

Chen Hong

Hanh Huynh Huu

Aspects of the subject matter described herein relate database virtualization. In aspects, clusters of database servers may be located at various locations of the Internet. When a client seeks to access a logical database, the client may send a logical server and logical database name in a data structure. These names may be used to find a physical server(s) and database(s) that correspond to the logical database. Once the location is determined, a proxy component is used to intercept and/or forward communications between the client and the physical server(s) and database(s) corresponding to the logical database. Using this system, a client may access data from a logical database without knowing the physical address of the logical user database.

Database virtualization

A method is provided for applying a visual classification scheme to a map. A target region comprising a plurality of display units is identified within the map. It is then determined whether all of the display units within the target region can be assigned to the same class based on interpolated data values obtained for only a subset of the display units within the target region. If the determination is positive, then all of the display units within the target region are assigned to the same class and a visual indicator is assigned to each display unit in the target region based on the class to which the display unit was assigned. If the determination is negative, then the target region is divided into a plurality of subdivided target regions and the foregoing method is applied to each of the subdivided target regions.

Data interpolation and classification method for map data visualization

Architecture that eliminates the need for on-disk full backups of data retaining only changes that have occurred, in a separate table. Thus, the architecture provides for incremental recovery of incremental changes in a relational database (e.g., SQL). The architecture provides improved recovery time and recovery point objectives. By using the incremental capture of changed data (e.g., in an XML format), the capability is provided to capture schema changes, query the incremental change data and efficiently restore user data to an earlier point-in-time state. Changes (e.g., insert, update and delete operations) are tracked (e.g., continuously) by a set of triggers and the incrementally captured changed rows are inserted in a data capture table (a differential change 'delta' table) in a human-readable format (e.g., XML). Rollback is also provided.

Logical data backup and rollback using incremental capture in a distributed database

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Sammamish, WA, United States of America

Zhongwei Wu