Melrose, MA, United States of America

Edward Alan Bach

USPTO Granted Patents = 7 

 

 

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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7 patents (USPTO):Explore Patents

Title: The Innovations of Edward Alan Bach

Introduction

Edward Alan Bach is a notable inventor based in Melrose, MA (US), recognized for his contributions to the field of data processing and federated database systems. With a total of seven patents to his name, Bach has made significant strides in enhancing data management and migration processes.

Latest Patents

Among his latest patents, one is titled "Migration of datasets among federated database systems." This patent outlines a method for migrating data records to a federated database system, which includes obtaining data records from a data source, generating a data snapshot file, and ensuring the integrity of the data through hashing. Another significant patent is the "Dataset multiplexer for data processing system," which describes a data processing system that allows applications to specify access to datasets as operations on logical datasets. This innovation streamlines the process of accessing and managing data, making it more efficient and adaptable to changes in storage.

Career Highlights

Edward Alan Bach is currently employed at Ab Initio Technology LLC, where he continues to develop innovative solutions in data processing. His work has been instrumental in advancing the capabilities of federated database systems, which are crucial for organizations that manage large volumes of data across multiple sources.

Collaborations

Bach collaborates with talented individuals such as Richard Oberdorf and Brond Larson, contributing to a dynamic team focused on pushing the boundaries of data technology.

Conclusion

Edward Alan Bach's contributions to the field of data processing through his patents and collaborative efforts highlight his role as a key innovator in the industry. His work continues to influence how organizations manage and migrate data effectively.

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