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 ...

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

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

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 ...

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 ...

Tables within a database management system (DBMS) need primary keys and defined indexes in order for the DBMS to have the opportunity to provide good query performance. Without indexing, the worst ...

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 ...

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 ...