Tamiras Per Pte. Ltd., LLC

Yanicklo Technology Limited Liability Company

Vladimir Braverman

Guy Shaked

Marina Sadetsky

Victor Belyaev

Yossi Matias

Gabby Rubin

Shahar Golan

A system is configured for automatic recognition of data store architecture and tracking dynamic changes and evolution in data store architecture. The system is a complementary system, which can be added onto an existing data store system using the existing interfaces or can be integrated with a data store system. The system comprises three main components that are configured to compose an approximation of the data store architecture. The first of these components is adapted to execute an analysis of the architecture of the data store; the second of the components is adapted to collect and compile statistics from said data store; and the third of the components is adapted to compose an approximation of the architecture of said data store.

Automatic data store architecture detection

A system is configured for automatic recognition of data store architecture and tracking dynamic changes and evolution in data store architecture. The system ef is a complementary system, which can be added onto an existing data store system using the existing interfaces or can be integrated with a data store system. The system comprises three main components that are configured to compose an approximation of the data store architecture. The first of these components is adapted to execute an analysis of the architecture of the data store; the second of the components is adapted to collect and compile statistics from said data store; and the third of the components is adapted to compose an approximation of the architecture of said data store.

The present invention is a system for automatic recognition of data store architecture and tracking dynamic changes and evolution in data store architecture. The system of the invention is a complementary system, which can be added onto an existing data store system using the existing interfaces or can be integrated with a data store system. The system comprises three main components that are configured to compose an approximation of the data store architecture. The first of these components is adapted to execute an analysis of the architecture of the data store; the second of the components is adapted to collect and compile statistics from said data store; and the third of the components is adapted to compose an approximation of the architecture of said data store. Methods for using the system of the invention are also described.

A method of effectively representing and processing data sets with time series is disclosed. The method may comprise representing time series as a virtual part of data in a data store layer of a user system, thereby allowing processing of time-series related queries in said data store layer of said user system.

Methods for effective processing of time series

The current invention is a method and a system for analyzing templates of queries, with different levels of precision. When the system of the current invention takes a decision to arrange data, these templates are used, and a single data arrangement object (HRBlob) is designed which may serve a single template or several templates and not just a single query. This approach has an important impact on data arrangement performance and on queries performance, since this approach may help many more queries to be handled using less data arrangement objects.

Growing community of inventors

Los Angeles, CA, United States of America

Vladimir Braverman