Capital One Services, LLC

Syed Shamaz Salim

Yudhish Batra

Nagender Gurram

Praveen Kandukuri

Ganesh Bharathan

Karamchandradatt Hardatt

Methods, systems, and apparatuses for managing and selecting virtual warehouses for execution of queries on one or more data warehouses are described herein. A request to execute a query may be received. An execution plan, for the query, may be identified. A processing complexity for the query may be predicted based on the query and the execution plan. A plurality of virtual warehouses may be identified. An operating status and processing capabilities of the plurality of virtual warehouses may be determined. A subset of the plurality of virtual warehouses may be selected based on the processing complexity, the operating status of the plurality of virtual warehouses, and the processing capabilities of the plurality of virtual warehouses. The query may be executed on one of the subset of the plurality of virtual warehouses.

Dynamic query allocation to virtual warehouses

Methods, systems, and apparatuses for providing access to records of a database stored on a database server in a cloud database platform are described herein. A data sharing platform may determine a shared view definition for access to the database. The data sharing platform may determine rules that specify criteria that limit access to the records stored by the database. The one or more first rules may be received via a user interface. The data sharing platform may perform, based on the rules, a data access certification process on the records stored by the database to generate a table of certification results. The data sharing platform may generate, based on the table of certification results, and without modifying the records stored by the database, a limited consumer view definition. Based on updates to the records, a new limited consumer view definition may be generated.

Data certification process for cloud database platform

Data certification process for updates to data in cloud database platform

Methods, systems, and apparatuses for generating notifications corresponding to queries submitted for execution by virtual warehouses are described herein. A request to execute a query may be received. An execution plan, for the query, may be identified. A processing complexity for the query may be predicted based on the query and the execution plan. A notification may be generated based on the processing complexity meeting an alert threshold. A user device may display the notification. A response to the notification comprising a selection of a first virtual warehouse, of a plurality of virtual warehouses, to execute the query may be received.

Query alerts generation for virtual warehouse

Methods, systems, and apparatuses for optimizing the configuration of virtual warehouses for execution of queries on one or more data warehouses are described herein. A plurality of different events associated with a data sharing platform may be logged. The data sharing platform may enable users to access one or more databases managed by the data sharing platform. The data sharing platform may be configured to provide access to the data stored by the data sharing platform via one or more of a plurality of virtual warehouses. A testing database may be generated. An optimized virtual warehouse configuration may be predicted for a first virtual warehouse by selecting a plurality of different warehouse configurations for the first virtual warehouse, measuring performance parameters of each of the plurality of different warehouse configurations by emulating, and selecting the optimized virtual warehouse configuration based on the performance parameters.

Optimization of virtual warehouse computing resource allocation

Methods, systems, and apparatuses for tracking and generating analysis of queries submitted to virtual warehouses are described herein. A request to execute a query may be received. An organization may be determined, and the query may be modified to add an indication of the organization. A plurality of virtual warehouses may be identified. One of the plurality of virtual warehouses may be caused to execute the query. Query results and costs data may be received based on execution of the query by the first virtual warehouse. The costs data may indicate one or more costs associated with the execution of the query by the first virtual warehouse. The indication of the organization may be extracted from the query results. A user interface comprising query cost information corresponding to the organization may be generated.

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North Potomac, MD, United States of America

Syed Shamaz Salim