Budapest, Hungary

Gyorgy Geiszter


Average Co-Inventor Count = 5.1

ph-index = 2

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 2020-2023

Loading Chart...
9 patents (USPTO):Explore Patents

Title: Gyorgy Geiszter: Innovator in Real-Time Analytics

Introduction

Gyorgy Geiszter is a prominent inventor based in Budapest, Hungary. He has made significant contributions to the field of data processing and analytics, holding a total of 9 patents. His work focuses on innovative techniques for real-time analytics and event processing systems.

Latest Patents

One of Geiszter's latest patents involves recreating an OLTP table and reapplying database transactions for real-time analytics. This technique processes data streaming from various event sources to recreate a database table with transactions for real-time analytics. The method includes receiving a stream of events with change data for a table attribute and populating an in-memory table based on a token associated with an operation type. Another notable patent is related to integrating logic in micro-batch based event processing systems. This distributed event processing system continuously executes queries against data streams and allows users to specify logical rules in applications, enhancing the efficiency of data processing.

Career Highlights

Geiszter is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in data analytics. His expertise in real-time data processing has positioned him as a key player in the industry.

Collaborations

Throughout his career, Geiszter has collaborated with notable colleagues such as Hoyong Park and Prabhu Thukkaram, contributing to various projects that push the boundaries of data processing technologies.

Conclusion

Gyorgy Geiszter's contributions to real-time analytics and event processing systems highlight his role as a leading inventor in the field. His innovative patents and ongoing work at Oracle International Corporation continue to shape the future of data analytics.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…