Risk Management Solutions, Inc.

David Glaubman

Christof Bornhoevd

Cory Isaacson

Ambica Rajagopal

Dan Lynn

Anders Ericson

Ian McCormick

Philippe Stephan

Cody Stumpo

Inderaj Bains

Bronislava Sigal

A system automatically processes rules for allocation of resources to mitigate damages resulting from a catastrophic event. Overlapping interests of various stakeholders are processed in a deterministic manner to ensure repeatable processing and modeling. In one embodiment the resources are disaster aid items; in another they are obligations regarding insurance.

Predicting and managing impacts from catastrophic events

A computing system and platform uses various types of data stores to allow efficient querying of, and accelerated access to, extremely large data sets. One such data store is a dimension store that combines key-value and columnar stores, access to which is provided by several selectable mechanisms chosen based the nature of the data of interest. These include bitmap-based access, us of an optimized columnar data format, and access via namespace identifiers. A compressed, optimized page data format is provided for storing and analyzing large fact-based data. The complex dimension store is used to provide complex relationships and interpretation of the fact-based data, enabling high-performance advanced queries, with bitmap indexes passed between the two stores. Dimension data is stored in an encrypted manner throughout the system, and can be exchanged among parties in a secure manner.

High performance big data computing system and platform

Growing community of inventors

Newark, CA, United States of America

David Glaubman