Capital One Services, LLC

Anadys Pharmaceuticals, Inc.

David Ellis

Kishore Kolanu

Yudhish Batra

Ganesh Bharathan

Naga Venkata Sriram Vadakattu

Hiren Shah

Sridhar Maramreddy

Naveen Kumar Kilaru

Felix Li

Fnu Syed Siraj Mehmood

Nicole Ann Luo

Liansheng Li

Chinh Viet Tran

Frank Ruebsam

Yuefen Zhou

Syed Mehmood

Rahul Syal

Justin Bougher

Chris Sylvia

Rohan Khopkar

Brenton Mallen

Nicole Markley

Tyler Fearns

Methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without access to data stored by corresponding virtual warehouses are described herein. A computing device may receive first performance metrics of one or more first queries executed by one or more first virtual warehouses. The computing device may then generate a trained machine learning model to simulate operating parameter changes and predict virtual warehouse query performance metrics. The computing device may then provide performance metrics for one or more second virtual warehouses to the trained machine learning model. Output from the trained machine learning model may comprise performance metric predictions corresponding to a given configuration of a virtual warehouse. Predicted costs associated with those performance metric predictions may be output and, based on user input, the operating parameter of the at least one of the one or more second virtual warehouses may be modified.

Virtual warehouse analysis and configuration planning system

Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more data warehouse resources not managed by the cloud data management system may be discovered, configured, and onboarded to the cloud data management system.

Methods and system for detecting unmanaged resources in cloud-based data warehousing system

Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data warehousing system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data warehousing system may be generated.

Methods and systems for generating recommendations in cloud-based data warehousing system

The invention is directed to 4-hydroxy-5,6-dihydro-1H-pyridin-2-one compounds of Formula I and pharmaceutical compositions containing such compounds that are useful in treating infections by hepatitis C virus:  

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San Diego, CA, United States of America

David Ellis