Company Filing History:
Years Active: 2010-2011
Title: Inventor Aneesh M Kulkarni: Innovating Data Processing Techniques
Introduction
Aneesh M Kulkarni is a distinguished inventor based in Foster City, CA, known for his innovative contributions to data processing technologies. With a total of three patents to his name, Kulkarni continues to push the boundaries of how data can be queried and processed across multiple sources.
Latest Patents
Among Kulkarni's latest inventions is a method and apparatus for processing a query that joins tables stored at different data sources. This patent outlines a system where a join query is received, requesting the generation of a new table from data sourced from two or more distinct tables. The invention emphasizes the identification of specific columns for data retrieval and the generation of an effective query plan to execute this task.
Another notable patent by Kulkarni covers similar territory as it also deals with methods for joining tables from different data sources. This invention enhances the efficiency of data retrieval by detailing a systematic approach to generate a new table based on queried data from multiple sources.
Career Highlights
Aneesh M Kulkarni currently works at Actuate Corporation, a company recognized for its innovative solutions in the field of data processing and analytics. His professional journey is characterized by a commitment to advancing data technologies and improving information systems.
Collaborations
Throughout his career, Kulkarni has collaborated with notable coworkers such as Wenfeng Li and Venkateswaran Venkataraman Iyer. These collaborations have contributed to the development of groundbreaking technologies and effective data management solutions.
Conclusion
With a robust portfolio of patents and a strong collaborative spirit, Aneesh M Kulkarni represents the innovation driving modern data processing. His inventions not only enhance operational efficiency but also pave the way for future advancements in how information is accessed and utilized across various data environments.