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 ...

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 ...

Query processing and optimisation form the backbone of relational database management, transforming high‐level declarative requests into efficient execution strategies. The pipeline begins with ...

Learn the role that natural language processing plays in making Google search even more semantic and context-based. Natural language processing opened the door for semantic search on Google. SEOs need ...

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 ...

Encrypting data is one of the most basic -- and most effective -- data security measures we have at our disposal. But when used with relational databases, encryption creates two major problems. The ...

Latest cumulative updates focus on stability, security and performance improvements across SQL Server deployments.

Probabilistic graph query processing techniques address the challenge of querying networks in which the presence of nodes or edges is uncertain. Such graphs arise in domains as varied as ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...