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 ...

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

Columnar databases help with Online Analytical Processing (OLAP) workloads since the queries touch across a subset of columns but a large number of rows for those columns. Columnar storage format ...

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 ...

Skyline queries identify the subset of data items that are not dominated by any other item across multiple dimensions, offering a Pareto‐optimal set for multi‐criteria decision making. In uncertain ...

MarkLogic, provider of an enterprise NoSQL database platform, has introduced the MarkLogic Query Service, a new way to give customers elasticity in the cloud for their mission-critical, ...

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 ...