Seattle, WA, United States of America

Rolf Petter Skog


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Rolf Petter Skog: Innovator in Time Series Database Technology

Introduction

Rolf Petter Skog is a notable inventor based in Seattle, WA, who has made significant contributions to the field of data management. He is recognized for his innovative approach to time series databases, particularly in enhancing data ingestion processes.

Latest Patents

Skog holds a patent titled "Direct cold tier upserts and partition splits enabling concurrent streaming data ingestion for time series databases." This patent describes techniques for performing a scratch space flush of cold tier upsert data into cold tier storage while allowing continued hot tier ingestion. The invention allows data points to be written directly into the cold tier, bypassing the hot tier, which typically stores new data points that are eventually aged out into the cold tier. This method enables the storage of new data points in a scratch space and moves them into the cold tier according to a non-blocking protocol, ensuring continued hot tier ingestion without significant service disruptions.

Career Highlights

Rolf Petter Skog is currently employed at Amazon Technologies, Inc., where he applies his expertise in data management and engineering. His work focuses on improving the efficiency and performance of time series databases, which are crucial for handling large volumes of streaming data.

Collaborations

Skog collaborates with talented professionals in his field, including Kanishka Chaturvedi and Timothy Andrew Rath. These collaborations enhance the innovative environment at Amazon Technologies, Inc., fostering advancements in technology.

Conclusion

Rolf Petter Skog's contributions to time series database technology through his patent and work at Amazon Technologies, Inc. highlight his role as an influential inventor in the tech industry. His innovative techniques are paving the way for more efficient data management solutions.

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