Company Filing History:
Years Active: 2011-2023
Title: Joseph Marion Lancaster: Innovator in Data Processing Technologies
Introduction
Joseph Marion Lancaster is a notable inventor based in St. Louis, MO (US). He has made significant contributions to the field of data processing, holding a total of 15 patents. His work focuses on enhancing the efficiency and performance of data translation and stream processing technologies.
Latest Patents
Among his latest patents, Lancaster has developed a "Method and apparatus for accelerated format translation of data in a delimited data format." This invention describes various methods and apparatuses for performing high-speed format translations of incoming data arranged in a delimited format. For instance, the data can be translated into a structured format, such as a fixed field format, using pipelined operations. A reconfigurable logic device serves as a platform for this format translation. Another significant patent is "Dynamic field data translation to support high performance stream data processing." This technology enables high-performance stream processing on complex, hierarchical data. In this embodiment, a dynamic field schema specifies a format for the incoming data, which is then translated into an outgoing data stream in the dynamic field format.
Career Highlights
Throughout his career, Lancaster has worked with various organizations, including IP Reservoir, LLC and Washington University. His experience in these institutions has allowed him to refine his skills and contribute to innovative projects in data processing.
Collaborations
Lancaster has collaborated with notable individuals in his field, including Roger Dean Chamberlain and Kevin Brian Sprague. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Joseph Marion Lancaster's contributions to data processing technologies through his patents and collaborations highlight his role as an influential inventor. His work continues to impact the field, paving the way for advancements in data translation and stream processing.
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