The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Recent advances in database management have seen the merging of classical indexing methods with data‐driven approaches, giving rise to learned index structures that exploit machine learning models to ...

“The database may return encrypted query results to the database proxy in response to the transformed query, and the database proxy may decrypt the results for use by a querying application. In some ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in industrial settings, artificial intelligence (AI) will be able to perform ...