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 ...

The third installment in this PowerShell AI series explores how user queries are processed and answered using a RESTful API and JSON payloads, enabling seamless interaction with local AI models ...

In-memory databases are all the rage for very fast query processing, but you have to have the right balance of compute and memory for queries against in-memory databases to really scream. Sometimes, a ...

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 ...

Transforming the query may involve transforming plaintext values to ciphertext values, indicating one or more user-defined functions (UDFs) in place of query operations to perform equivalent ...