Equally significant, advancements in query processing are streamlining the evaluation and execution of database queries on vast datasets.

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 ...

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 ...

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

Not so with DBAs! In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate ...

With POLAR, the research group introduces an adaptive query processing technique that lowers the adoption barrier for existing database systems while decreasing the risk of performance cliffs from ...

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 ...

Note: This example uses a Version 6 view descriptor with the Pass-Through Facility to access DBMS data. Beginning in Version 7, you can associate a libref directly with your DBMS data and use the ...

Quicker query processing, in turn, improves the performance of analytics workloads. The database also includes other performance optimizations.