Company Filing History:
Years Active: 2023
Title: Zhimin Liang: Innovator in Streaming Data Processing
Introduction
Zhimin Liang is a notable inventor based in West Vancouver, Canada. He has made significant contributions to the field of data processing, particularly in the area of streaming data systems. His innovative approach has led to the development of a unique patent that addresses the challenges of data importance in real-time processing.
Latest Patents
Zhimin Liang holds a patent titled "Dynamic storage and deferred analysis of data stream events." This patent describes systems and methods for a streaming data processing system that defers the processing of certain data based on its determined importance. The system can ingest a data stream containing multiple events, extract data field values from individual events, and assess their importance. High-importance events undergo further processing and indexing, while low-importance events are assigned a storage prefix that dictates their storage location in a data storage system. This innovative approach allows for efficient query processing by retrieving indexed high-importance events and determining the storage prefix for corresponding low-importance events.
Career Highlights
Zhimin Liang is currently employed at Splunk Inc., a company renowned for its data analytics and monitoring solutions. His work at Splunk has allowed him to apply his inventive ideas in a practical setting, contributing to advancements in data processing technologies.
Collaborations
Zhimin has collaborated with notable colleagues such as Paul Jean André Bernier and Poornima Devaraj. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions in the field of data processing.
Conclusion
Zhimin Liang's contributions to streaming data processing exemplify the impact of innovative thinking in technology. His patent and work at Splunk Inc. highlight the importance of addressing data importance in real-time systems. His efforts continue to shape the future of data analytics and processing.