Microsoft Technology Licensing, LLC

Raul Castro Fernandez

Jonathan David Goldstein

Badrish Chandramouli

Abdul Hussain Quamar

Ahmed Eldawy

High performance query processing and data analytics can be performed across architecturally diverse scales, such as single core, multi-core and/or multi-nodes. The high performance query processing and data analytics can include a separation of query computation, keying data, and data movement and parallel computation, thereby enhancing the capabilities of the query processing and data analytics, while allowing the specification of complex forms of data parallel computation that may execute across real-time and offline. The decoupling of data movement and parallel computation, as described herein can improve query processing and data analytics speed, can provide for the optimization of searches in a plurality of computing environments, and can provide the ability to search through a larger space of execution plans.

Growing community of inventors

Cambridge, MA, United States of America

Raul Castro Fernandez