This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2011.
Company Filing History:
Years Active: 2011
Title: Innovations by Daniel B Morales
Introduction
Daniel B Morales is an accomplished inventor based in Round Rock, TX (US). He has made significant contributions to the field of database management systems through his innovative patent. His work focuses on enhancing the efficiency and reliability of data replication processes.
Latest Patents
Daniel B Morales holds a patent for a "System and apparatus to ensure a low-latency read of log records from a database management system ('DBMS')." This invention provides a method to ensure a low-latency read of log records from a DBMS in asynchronous log-based database replication capture. The system includes a replication server with a log read module that initializes a log read thread. The reading module reads a predefined number of DBMS log records, while a log flush module executes and waits for a read complete notification. In response to a log flush thread timeout, the update module generates a plurality of loggable transactions, ensuring that the latency time remains constant, low, and predictable. This innovation guarantees accurate replication capture.
Career Highlights
Daniel is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in database management systems. His expertise in this area has positioned him as a valuable asset to his team.
Collaborations
Daniel has collaborated with notable colleagues, including Jonathan W Wierenga and Clarence M Pruet. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.
Conclusion
Daniel B Morales is a prominent inventor whose work in database management systems has led to significant advancements in low-latency data replication. His contributions continue to influence the field and enhance the efficiency of data management processes.
