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 ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

We describe a methodology for processing data retrieval and update queries using a form-based natural language interface. For the purpose of illustration, we use computer integrated manufacturing (CIM ...

The preprint “POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance.” introduces an adaptive query processing technique that lowers the adoption barrier for existing ...

Data intensive applications that rely heavily on huge databases waste a lot of time in searching and retrieval especially if there is a single server retrieving data from the database. This paper ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

A monthly overview of things you need to know as an architect or aspiring architect. This article dives into the happens-before semantics of Go channels, explaining how they relate to memory ...