Infobright Inc.

Security On-demand, Inc.

Jakub Wroblewski

Dominik A Slezak

Arkadiusz G Wojna

Victoria K Eastwood

Cas Kazimierz Apanowicz

Piotr D Synak

Marcin Wojnarski

Marcin Kowalski

Richard Glick

Agnieszka Chadzynska-Krasowska

Pawel Betlinski

Janusz Borkowski

Piotr Synak

Joel Alan Holland

Embodiments may provide methods and systems for intelligent capture and fast transformation of granulated data summaries. An engine may be used to transform input data summaries into result sets representing query outcomes. The data summaries contain enough knowledge about the original data to accurately perform operations on the summaries without needing to access the original data. In an embodiment, the contents of data summaries are accessible via an SQL approximate engine which retrieves summaries stored on disk and utilizes them for its operations. Alternatively, the contents of data summaries are accessible via virtual tables which give users direct access to the summary contents and allow for the creation and implementation of algorithms to work with the data summaries independently from the SQL approximate engine.

Systems and methods for intelligent capture and fast transformations of granulated data summaries in database engines

A system and method of processing a data query in a data processing system is provided. The data in the data processing system includes a plurality of individual data elements. The data elements are grouped and stored in at least one data unit. The information about the at least one data unit is gathered and stored in at least one information unit. The method comprises receiving the data query to be executed; using the information in the at least one information unit to optimize and execute the query; resolving the data query; and returning results of the data query for use by the data processing system.

Method and system for storing, organizing and processing data in a relational database

A method for applying adaptive data compression in a relational database system using a filter cascade having at least one compression filter stage in the filter cascade. The method comprises applying a data filter associated with the compression filter stage to the data input to produce reconstruction information and filtered data, then compressing the reconstruction information to be included in a filter stream. The filtered data is provided as a compression filter stage output. The method may comprise evaluating whether the compression filter stage provides improved compression compared to the data input. The filter stage output may be used as the input of a subsequent compression filter stage.

Method and system for data compression in a relational database

A relational database having a plurality of records is organized by using a processing arrangement to perform a clustering operation on the records so as to create a number of clusters. At least one of the clusters is characterized by a selected metadata parameter. The clustering operation is performed to optimize a calculated value of a selected precision factor for the selected metadata parameter. The selected metadata parameter is selected to optimize execution of a database query and the value of the selected precision factor is related to efficiency of execution of the database query.

Methods and systems for database organization

Growing community of inventors

Lomianki, Poland

Jakub Wroblewski