Company Filing History:
Years Active: 2007-2014
Title: Martin Zielonkowski: Innovator in In-Memory Database Systems
Introduction
Martin Zielonkowski is a notable inventor based in Freinsheim, Germany. He has made significant contributions to the field of in-memory database systems, holding a total of 3 patents. His work focuses on enhancing the management and representation of business data, which is crucial for modern analytical applications.
Latest Patents
Zielonkowski's latest patents include innovative methods for managing feeds in in-memory database systems. One of his patents describes a computer-implemented method that determines when a criterion for a feed event is met concerning a business object. This method generates a feed event document and forwards it to identified subscribers within the in-memory database system. Another patent focuses on the representation of business objects in analytical applications by combining replicated, analytical, and locally enriched data. This system allows for the creation of business objects that provide access to an analytics database through a user interface.
Career Highlights
Martin Zielonkowski is currently employed at SAP AG, a leading software company known for its enterprise resource planning solutions. His role involves developing advanced database management techniques that improve data accessibility and usability for businesses. Zielonkowski's expertise in in-memory databases positions him as a key player in the ongoing evolution of data management technologies.
Collaborations
Throughout his career, Zielonkowski has collaborated with talented professionals such as Huaiyang Mao and Sonja Zscherpel. These collaborations have contributed to the successful development of innovative solutions in the field of database management.
Conclusion
Martin Zielonkowski's contributions to in-memory database systems and his innovative patents highlight his role as a significant inventor in the technology sector. His work continues to influence how businesses manage and utilize data effectively.