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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Jonathan Ming-Cyn Hsieh

This inventor holds 14 USPTO granted patents, primarily in Data Management. Top assignee: Cloudera, Inc.. Active years: 2014-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jonathan Ming-Cyn Hsieh. Retrieved from https://idiyas.com/inventor/jonathan-ming-cyn-hsieh

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

Calculating rank
USPTO Granted Patents = 14

% Patents Active = 100.0

Average Co-Inventor Count = 1.9

ph-index = 5

Forward Citations = 43(Granted Patents)


Company Filing History:

goldMedal14 out of 81 
 
Cloudera, Inc.
 patents

Years Active: 2014-2024

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Areas of Expertise:
Data Aggregation
Log Data
Fault Tolerance
Event Processing
Dataset Collection
Distributed Computing
Extensible Data Model
Corrupt Data Repair
14 patents (USPTO):Explore Patents
1. 12007846 - Manifest-based snapshots in distributed computing environments (2024-06-11),
2. 11768739 - Manifest-based snapshots in distributed computing environments (2023-09-26),
3. 10776217 - Manifest-based snapshots in distributed computing environments (2020-09-15),
4. 10187461 - Configuring a system to collect and aggregate datasets (2019-01-22),
5. 9842126 - Automatic repair of corrupt HBases (2017-12-12),
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. 9690671 - Manifest-based snapshots in distributed computing environments (2017-06-27),
9. 9361203 - Collecting and aggregating log data with fault tolerance (2016-06-07),
10. 9317572 - Configuring a system to collect and aggregate datasets (2016-04-19),
11. 9201910 - Dynamically processing an event using an extensible data model (2015-12-01),
12. 9082127 - Collecting and aggregating datasets for analysis (2015-07-14),
13. 9081888 - Collecting and aggregating log data with fault tolerance (2015-07-14),
14. 8874526 - Dynamically processing an event using an extensible data model (2014-10-28),

Title: Innovations of Jonathan Ming-Cyn Hsieh

Introduction

Jonathan Ming-Cyn Hsieh is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of distributed computing, holding a total of 14 patents. His work focuses on creating scalable architectures and systems that enhance data management in cloud environments.

Latest Patents

One of Hsieh's latest patents is titled "Manifest-based snapshots in distributed computing environments." This innovation provides scalable architectures, systems, and services for creating manifest-based snapshots. In this patent, a master node identifies multiple slave nodes where a data object is stored and creates a snapshot manifest representing that data object. The snapshot manifest includes a file listing multiple file names and reference information for locating these files in the distributed database system. Notably, the snapshot can be created without disrupting I/O operations, allowing for online mode creation by various region servers. Additionally, a log roll approach is disclosed, which marks log files to reduce the probability of causal consistency in the snapshot.

Career Highlights

Hsieh is currently employed at Cloudera, Inc., where he continues to innovate in the field of distributed computing. His work has been instrumental in advancing cloud-computing technologies and improving data management practices.

Collaborations

Some of Hsieh's notable coworkers include Henry Noel Robinson and Matteo Bertozzi. Their collaborative efforts contribute to the innovative environment at Cloudera, Inc.

Conclusion

Jonathan Ming-Cyn Hsieh is a key figure in the realm of distributed computing, with a strong portfolio of patents that reflect his expertise and innovative spirit. His contributions are shaping the future of cloud technologies and data management.

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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