San Francisco, CA, United States of America

Lenni Kuff


Average Co-Inventor Count = 7.0

ph-index = 2

Forward Citations = 37(Granted Patents)


Company Filing History:


Years Active: 2016-2023

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6 patents (USPTO):Explore Patents

Title: The Innovations of Lenni Kuff

Introduction

Lenni Kuff is a notable inventor based in San Francisco, CA. She has made significant contributions to the field of distributed computing, particularly through her work with Apache Hadoop. With a total of 6 patents, Kuff has established herself as a key figure in optimizing data processing technologies.

Latest Patents

One of Lenni Kuff's latest patents is focused on background format optimization for enhanced queries in a distributed computing cluster. This invention involves a format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at specific time points for use by a low latency (LL) query engine. The format conversion engine includes a daemon installed on each data node in a Hadoop cluster. This daemon consists of a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter then converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

Career Highlights

Lenni Kuff is currently employed at Cloudera, Inc., where she continues to innovate in the field of data processing. Her work has been instrumental in enhancing the efficiency and effectiveness of data queries in distributed systems.

Collaborations

Throughout her career, Kuff has collaborated with talented individuals such as Marcel Kornacker and Justin Erickson. These partnerships have contributed to the development of groundbreaking technologies in the realm of distributed computing.

Conclusion

Lenni Kuff's contributions to the field of distributed computing and her innovative patents highlight her role as a leading inventor. Her work continues to influence the way data is processed and queried in modern computing environments.

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