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 ...

Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations. As data ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Dynamic filtering is a technique that filters out unnecessary data in advance during the database query process. The core ...

The preprint “POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance.” introduces an adaptive query processing technique that lowers the adoption barrier for existing ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...

Among the messages that Oracle is putting out for its flagship database, adding new access paths for developers has become just as important as adding new data types. This month, Oracle is launching ...