El Segundo, CA, United States of America

Ramakrishna Korlapati


Average Co-Inventor Count = 1.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2010

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Ramakrishna Korlapati

Introduction

Ramakrishna Korlapati is a notable inventor based in El Segundo, CA (US). He has made significant contributions to the field of database optimization, holding 2 patents that showcase his expertise and innovative thinking. His work focuses on enhancing the efficiency of database requests through advanced statistical methods.

Latest Patents

One of Ramakrishna's latest patents is titled "Deriving session level statistics for temporary tables." This invention addresses the optimization of database requests by creating a first temporary table using data from a data source. It involves saving a subset of demographics from the data source in session-level memory, which is then utilized to optimize the execution of requests involving the temporary table. Another significant patent is "Using a correlation factor to derive join costing statistics." This invention focuses on deriving join cost demographics for binary joins by employing a correlation factor that relates to the ratio of unique join column values stored in various units of storage.

Career Highlights

Ramakrishna Korlapati is currently employed at Teradata Us, Inc., where he continues to develop innovative solutions in database technology. His work has had a profound impact on how databases are managed and optimized, making him a valuable asset to his company and the industry.

Collaborations

Ramakrishna has collaborated with talented individuals such as Grace K Au and Bibhu Ranjan Priyadarshi. These collaborations have further enriched his work and contributed to the success of his projects.

Conclusion

Ramakrishna Korlapati's contributions to database optimization through his patents demonstrate his innovative spirit and technical expertise. His work continues to influence the field, making significant strides in enhancing database efficiency.

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