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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Henry Noel Robinson

This inventor holds 15 USPTO granted patents, plus 3 CIPO patents, primarily in Data Processing Optimization. Top assignee: Cloudera, Inc.. Active years: 2014-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Henry Noel Robinson. Retrieved from https://idiyas.com/inventor/henry-noel-robinson

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 15

% Patents Active = 100.0


Average Co-Inventor Count = 2.8

ph-index = 6

Forward Citations = 80(Granted Patents)


Company Filing History:

goldMedal15 out of 81 
 
Cloudera, Inc.
 patents

Years Active: 2014-2023

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Areas of Expertise:
Distributed Computing
SQL-like Queries
Data Aggregation
Event Processing
Fault Tolerance
Hadoop
Low Latency
Extensible Data Model
Dataset Analysis
Log Data Collection
15 patents (USPTO):Explore Patents
1. 11630830 - Background format optimization for enhanced queries in a distributed computing cluster (2023-04-18),
2. 11567956 - Background format optimization for enhanced queries in a distributed computing cluster (2023-01-31),
3. 10706059 - Background format optimization for enhanced SQL-like queries in Hadoop (2020-07-07),
4. 10187461 - Configuring a system to collect and aggregate datasets (2019-01-22),
5. 9990399 - Low latency query engine for apache hadoop (2018-06-05),
6. 9817867 - Dynamically processing an event using an extensible data model (2017-11-14),
7. 9817859 - Collecting and aggregating log data with fault tolerance (2017-11-14),
8. 9477731 - Background format optimization for enhanced SQL-like queries in Hadoop (2016-10-25),
9. 9361203 - Collecting and aggregating log data with fault tolerance (2016-06-07),
10. 9342557 - Low latency query engine for Apache Hadoop (2016-05-17),
11. 9317572 - Configuring a system to collect and aggregate datasets (2016-04-19),
12. 9201910 - Dynamically processing an event using an extensible data model (2015-12-01),
13. 9082127 - Collecting and aggregating datasets for analysis (2015-07-14),
14. 9081888 - Collecting and aggregating log data with fault tolerance (2015-07-14),
15. 8874526 - Dynamically processing an event using an extensible data model (2014-10-28),

Title: The Innovations of Henry Noel Robinson

Introduction

Henry Noel Robinson is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of distributed computing, particularly through his work with Apache Hadoop. With a total of 15 patents to his name, Robinson has established himself as a key figure in technological advancements.

Latest Patents

One of Robinson's latest patents focuses 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 arrives. The converter then changes the 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

Henry Noel Robinson is currently employed at Cloudera, Inc., where he continues to innovate and develop new technologies. His work has had a profound impact on the efficiency and performance of data processing in distributed systems.

Collaborations

Robinson has collaborated with notable colleagues such as Jonathan Ming-Cyn Hsieh and Marcel Kornacker. These partnerships have further enhanced his contributions to the field.

Conclusion

Henry Noel Robinson's work in distributed computing and his numerous patents highlight his innovative spirit and dedication to advancing technology. His contributions continue to shape the future of data processing and optimization.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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