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 ...

Driven by the rapid hardware development of parallel CPU/GPU architectures, the authors have witnessed emerging relational query processing techniques and implementations on those parallel ...

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 ...

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 ...

Optimizing data indexing and layout can significantly reduce retrieval times and improve storage efficiency. Categorizing and prioritizing relevant data based on specific factors, such as location or ...

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 ...