Villeneuve-Loubet, France

Daniele Masala


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Daniele Masala: Innovator in Database Technology

Introduction

Daniele Masala is a notable inventor based in Villeneuve-Loubet, France. He has made significant contributions to the field of database technology, particularly through his innovative patent that focuses on dynamic database partitions. His work aims to enhance the efficiency and performance of database systems.

Latest Patents

Daniele holds a patent titled "Statistics-based dynamic database partitions." This invention relates to the technology of databases and involves dynamically updating and customizing database partitions. The disclosed computer-implemented engine identifies and retrieves data records necessary to generate responses to requests. It utilizes partition statistics to determine correlations between data records, allowing for the relocation of records with strong correlations to minimize the number of partitions queried. This innovation also aims to distribute the computational load more evenly across the partitions, improving overall system performance. He has 1 patent to his name.

Career Highlights

Daniele is currently employed at Amadeus S.a.s., located in Sophia Antipolis. His role involves leveraging his expertise in database technology to contribute to the company's innovative solutions in the travel and tourism industry. His work is instrumental in enhancing the efficiency of data management systems.

Collaborations

Daniele collaborates with talented professionals in his field, including Lionel Gotti and Matteo Casalino. These collaborations foster a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Daniele Masala is a prominent figure in the realm of database technology, with a focus on dynamic database partitions. His innovative patent and contributions to Amadeus S.a.s. highlight his commitment to advancing the efficiency of data management systems.

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