Temporal database systems are designed to capture and manage data that varies over time, thereby accommodating historical and time‐sensitive information. These systems integrate temporal dimensions ...

Databases are the backbone of countless applications and systems, yet managing them can often feel like navigating a maze of complexity. If you’ve ever found yourself wrestling with SQL queries, ...

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 ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

The world of technology is undergoing a significant transformation, driven by advancements in artificial intelligence. While AI has already reshaped various industries, its impact on infrastructure ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...