Mountain View, CA, United States of America

Malcolm Sharpe

Average Co-Inventor Count = 5.2

ph-index = 3

Forward Citations = 24(Granted Patents)

Forward Citations (Not Self Cited) = 4(Sep 21, 2024)


Years Active: 2015-2024

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):

Title: **Innovations by Inventor Malcolm Sharpe in Data Replication Technology**

Introduction

Malcolm Sharpe, an accomplished inventor based in Mountain View, CA, has made significant contributions to the field of data technology. With a remarkable portfolio of 15 patents, his innovative work focuses on advanced systems for data replication and access.

Latest Patents

Malcolm's latest patents showcase his commitment to enhancing data management capabilities. One notable patent is for a system that allows access to a partially replicated dataset. This invention includes a mechanism for detecting when a dataset is being replicated between storage systems, enabling users to interact with the dataset even before the complete data transfer is finalized. Another patent addresses efficient replication using metadata. In this process, a snapshot is selected for replication, allowing optimized transfer of data while minimizing redundancy. This innovative approach significantly enhances data processing efficiency.

Career Highlights

Malcolm Sharpe is currently associated with Pure Storage, Inc., a leader in data storage solutions. His work has played a pivotal role in advancing the company's technological offerings, positioning them at the forefront of the industry.

Collaborations

Throughout his career, Malcolm has worked alongside talented colleagues such as Steve Hodgson and Christopher Golden. Their collaborative efforts have further propelled innovations within the organization, leading to breakthroughs that benefit many users and organizations reliant on high-performance data solutions.

Conclusion

Malcolm Sharpe's contributions to data replication technologies exemplify the power of innovation. His patents not only enhance the functionality of storage systems but also redefine user interactions with data. As technology continues to evolve, his work will likely remain influential in shaping the future of data management.

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