Company Filing History:

13 out of 164,108

International Business Machines Corporation

patents

2 out of 54,638

Microsoft Technology Licensing, LLC

patents

Years Active: 2007-2024

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11966381 - Event driven data health monitoring (2024-04-23),

2. 11860853 - Automated data health reasoning (2024-01-02),

3. 11455217 - Transaction consistency query support for replicated data from recovery log to external data stores (2022-09-27),

4. 11442823 - Transaction consistency query support for replicated data from recovery log to external data stores (2022-09-13),

5. 10255343 - Initialization protocol for a peer-to-peer replication environment (2019-04-09),

6. 10216584 - Recovery log analytics with a big data management platform (2019-02-26),

7. 10216582 - Recovery log analytics with a big data management platform (2019-02-26),

8. 9928281 - Lightweight table comparison (2018-03-27),

9. 9734223 - Difference determination in a database environment (2017-08-15),

10. 9727625 - Parallel transaction messages for database replication (2017-08-08),

11. 9529881 - Difference determination in a database environment (2016-12-27),

12. 9483541 - Initialization protocol for a peer-to-peer replication environment (2016-11-01),

13. 9477738 - Initialization protocol for a peer-to-peer replication environment (2016-10-25),

14. 7627854 - Graphical aid for generating object setup scripts (2009-12-01),

15. 7203687 - Peer-to-peer replication member initialization and deactivation (2007-04-10),

Title: Yat On Lau: Innovator in Data Health Monitoring

Introduction

Yat On Lau is a prominent inventor based in San Jose, California, known for his significant contributions to data health monitoring technologies. With a total of 15 patents to his name, Lau has made a substantial impact in the field of data management and analysis.

Latest Patents

Among his latest innovations, Lau has developed a patent for event-driven data health monitoring. This invention maintains a data pool that includes heterogeneous data sets and receives data batches from various sources. It determines the current state of the data set using a state diagram and identifies conditions of incoming data batches. Additionally, it updates the data batch state based on these conditions and transitions the data set state diagram accordingly. Another notable patent is for automated data health reasoning, which includes a memory storing a metamodel with predefined characteristics for data sets. This system retrieves stored metamodels, determines data health metrics, and formulates validation assertions for data sets, ensuring their integrity and reliability.

Career Highlights

Lau has worked with several prestigious companies, including IBM and Microsoft Technology Licensing, LLC. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking technologies in data health monitoring.

Collaborations

Some of Lau's notable coworkers include Serge Bourbonnais and Jonathan W. Wierenga, who have collaborated with him on various projects throughout his career.

Conclusion

Yat On Lau's innovative work in data health monitoring exemplifies the importance of advancements in data management technologies. His patents reflect a deep understanding of data integrity and health, making him a key figure in this evolving field.

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