Karlsruhe, Germany

Markus Breiter


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2007

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1 patent (USPTO):Explore Patents

Title: Inventor Markus Breiter: Pioneering Change-Driven Data Replication

Introduction

Markus Breiter is a notable inventor based in Karlsruhe, Germany, recognized for his innovative contributions to data replication technologies. With a focus on change-driven processes, his work aims to improve the efficiency and accuracy of data management systems.

Latest Patents

Markus Breiter holds one patent entitled "Change-driven replication of data." This invention includes a methodology for determining data to be replicated within a collection of business master data. The process involves performing an explosion of the data collection, identifying changes since the last replication, and efficiently transmitting only the modified data from a central data system to one or more target data systems. This innovative approach optimizes data replication by reducing the volume of data being transferred, thus enhancing performance and reliability.

Career Highlights

Currently, Markus Breiter is employed at SAP AG, a leading global software corporation known for its enterprise resource planning software and solutions. His work within the company underscores a commitment to advancing data management technologies and improving business processes through innovation.

Collaborations

Throughout his career, Markus has collaborated with several talented individuals, including coworkers Andreas Muecklich and Wolfgang Kalthoff. These partnerships help foster a collaborative environment that promotes creative problem-solving and technological advancement within the industry.

Conclusion

Markus Breiter's contributions to the field of data replication exemplify the innovative spirit of modern technology. With a patent focused on change-driven processes, he demonstrates a profound understanding of data management, significantly impacting how businesses can efficiently handle and replicate their master data.

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