Microsoft Technology Licensing, LLC

Karla Jean Saur

Yuan Yu

Carlo Aldo Curino

Rathijit Sen

Subramaniam Venkatraman Krishnan

Raghunath Ramakrishnan

Konstantinos Karanasos

Kwanghyun Park

Matteo Interlandi

Markus Weimer

Fotios Psallidas

Ivan Popivanov

Doris Suiyi Xin

The description relates to executing an inference query relative to a database management system, such as a relational database management system. In one example a trained machine learning model can be stored within the database management system. An inference query can be received that applies the trained machine learning model on data local to the database management system. Analysis can be performed on the inference query and the trained machine learning model to generate a unified intermediate representation of the inference query and the trained model. Cross optimization can be performed on the unified intermediate representation. Based upon the cross-optimization, a first portion of the unified intermediate representation to be executed by a database engine of the database management system can be determined, and, a second portion of the unified intermediate representation to be executed by a machine learning runtime can be determined.

Query processing with machine learning

Growing community of inventors

Seattle, WA, United States of America

Karla Jean Saur