Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Query optimisation remains a critical discipline in database systems, underpinning the efficiency and responsiveness of data-driven applications. By selecting optimal execution plans, modern query ...

Old-school approaches to query optimization have typically considered the problem in a static context — i.e., the optimizer works independently to come up with an optimal plan that is then ...

The message of today’s post is that, in the normal rush to compete for non-brand query rankings, it is crucial that we first have our branded house in order — that we make a point of ...

Joey on SQL Server Deep Dive into SQL Server 2022's Query Performance Features, Part 2: PSP Optimization Reduce workload times with this handy feature that can benefit every database pro. By Joey ...

Why Moving To The Cloud Isn't Enough Without Query Optimization Santosh Vinnakota, a skilled data engineer, has become a key figure in redefining the boundaries of cloud performance.

While the last two versions of SQL Server focused on improving performance by offering new features, SQL Server 2016 looks inwards towards improving existing functionality.

Possible application data output formats include, but are not limited to, HTML, PDF, XML, XLS, and Ajax-driven pages. Originally, the SuperSQL query is directly converted into a single SQL query.

Joey on SQL Server A Deep Dive into SQL Server 2022's Query Performance Features, Part 1 An update to the cardinality estimator feature in SQL Server 2022 will be one of the biggest changes to the ...