Today’s enterprises are dealing with vast amounts of data located in disparate storage systems. As enterprises adopt artificial intelligence (AI), data silos exacerbate the challenge of AI training, ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

File, block and object are fundamental to how users and applications access and modify data storage. That’s been the case for decades, and the transition to the cloud has seen that remain so – but ...

Data is critical to businesses of all sizes, and the idea of being able to store it anywhere and access it everywhere is immensely appealing. This is the promise of global file systems (GFS), which ...

In the Linux environment, the file system acts as a backbone, orchestrating the systematic storage and retrieval of data. It is a hierarchical structure that outlines how data is organized, stored, ...

If there’s one thing a modern business needs, it’s data—as much of it as possible. Starting with data warehouses and now with data lakes, we’re using on-premises and cloud tools to manage and analyze ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...