Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...

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 actual definition of real-time database versus the abused interpretation used by marketers of real fast database systems. The interplay of transient and persistent memory, and hard and soft ...

Why external consistency is so important for a hard real-time database. Maintaining a transaction timeline. The impact of a transaction-scheduling policy. A real-time database-management system (DMBS) ...

When it comes to building extreme scale computing platforms, there are plenty of system design options but in supercomputing, the only practical choice for an OS is Linux. A team from MIT and Sandia ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A study of enterprise data models, including how data storage and retrieval methods have changed over time. Modern techniques for handling relational and non-relational data and their implications in ...

Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...