Amadeus S.a.s., Sophia Antipolis

Daniele Masala

Huseyin Kilic

Giacomo Margaria

Matteo Casalino

Lionel Gotti

Nicolas Vizern

The present disclosure relates to database technology and in particular to dynamically updating and customizing database partitions. A computer-implemented engine is disclosed for identifying and retrieving a number of data records applicable to generate a response to a request, the engine having access to at least two partitions. Partition statistics are generated indicating correlations between the data records and, based on that partition statistics, the data records having the strongest correlation with each other are relocated to partitions so that the number of partitions which have to be queried in order to generate a response to a data request is minimized. Furthermore, the computational load caused when generating responses is more equally distributed across the partitions.

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Villeneuve-Loubet, France

Daniele Masala