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 ...

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 ...

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

Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

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 ...

A major impediment to accurate information retrieval from the World Wide Web is the inability of search engines to incorporate semantics in the search process. This research presents a methodology, ...

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 ...

Microsoft will enable AI processing in India by 2025, enhancing local data governance and compliance for its customers.