Company Filing History:
Years Active: 2018
Title: Innovations by BongChae Kang
BongChae Kang is a notable inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of database optimization through his innovative patent. His work is recognized for its potential to enhance the efficiency of database queries.
Latest Patents
BongChae Kang holds a patent for a "Join type for optimizing database queries." This invention involves a query compiler that analyzes a query to identify a correlated scalar subquery. The compiler transforms the query containing the correlated scalar subquery into a query of AGGREGATION INNER/OUTER JOIN or MAX1ROW INNER/OUTER JOIN, depending on the result type of the correlated scalar subquery. The AGGREGATION INNER/OUTER JOIN performs a JOIN on the rows of the correlated scalar subquery with the rows of a main query, aggregates the joined rows, and returns a result of the main query along with the aggregation value. Conversely, the MAX1ROW INNER/OUTER JOIN performs a JOIN on the rows of the correlated scalar subquery with the rows of a main query, raises an error when the number of joined rows of the subquery is two or more, and returns a result of the row of the main query along with the joined row of the subquery. This patent showcases his expertise in optimizing database performance.
Career Highlights
BongChae Kang is currently employed at Tmaxdata Co., Ltd., a company known for its advancements in database technology. His role at Tmaxdata allows him to apply his innovative ideas and contribute to the development of cutting-edge database solutions.
Collaborations
Throughout his career, BongChae Kang has collaborated with talented individuals such as Sang Young Park and Sukwon Yi. These collaborations have likely enriched his work and contributed to the success of his projects.
Conclusion
BongChae Kang's contributions to database optimization through his patent demonstrate his innovative spirit and technical expertise. His work continues to influence the field and improve database query efficiency.
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