Google Inc.

Oracle International Corporation

Mikhail Shmulyan

Craig D Chambers

Daniel Mills

Reuven Lax

Robert Bradshaw

Manuel Alfred Fahndrich

Nikhil Surve

Mark Brian Shields

Samuel Green McVeety

Ahmet Altay

Andrei Maksimenka

Harris Samuel Nover

Rafael De Jesús Fernández Moctezuma

Samuel Carl Whittle

Cosmin Ionel Arad

Jeffrey Paul Gardner

In accordance with an embodiment, described herein is a system and method for automatically enriching datasets in a data analytics environment, with system knowledge data. The system can operate, upon an analysis of a data set, to automatically enrich the data set. Users of data analytics environments, such as business users preparing data visualizations, may be unaware of additional data and system knowledge data that could be utilized to improve the data visualizations. The systems and methods described herein can provide an automatic enrichment of data from, for example, a knowledge repository, which can be delivered to a data analytics customer using various delivery means.

System and method for automatically enriching datasets with system knowledge data

A job that receives as input a data stream is executed. For the job, it is iteratively determined a backlog growth over a first period of time; a backlog volume; and whether to adjust a quantity of processing resources. For each iteration for which the quantity of processing resources allocated to the job are determined to be adjusted, adjusting the quantity of processing resources allocated to the job. For each iteration for which the quantity of processing resources allocated to the job are determined not to be adjusted, maintaining the quantity of processing resources allocated to the job.

Resource allocation for computer processing

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Seattle, WA, United States of America

Mikhail Shmulyan