Nahla Davies

As healthcare data storage surges in the wake of the pandemic, six trends have emerged to underscore the development of the sector.

IBM’s new SDS solution is a container-native HCI system. Here is how it pitches itself as a step towards an AI-driven data storage future.

Object storage is the newest paradigm to stem from the convergence of AI and data storage. Here is how it is pushing that development.

The emergence of real-world IoT networks over the past ten years has driven the development of innovative cloud storage models and solutions.

Service level agreements detail the minimum level of service to expect from a provider. Learn why SLAs are increasingly important below.

Data Fabrics are redefining the implementation of technology architectures. Learn how they complement data storage infrastructures below.

Artificial intelligence is already impacting in storage-focused applications. Here is how those tools are shaping future storage models.

As edge computing continues to generate large amounts of data, storage has become a challenge. Here are solutions to overcome the problem.

Both JBOD and RAID have their strengths and weaknesses in data storage – and both have their advocates among storage professionals.  To be sure, there are JBOD offers a fairly straightforward and inexpensive way to archive huge amounts of data. In contrast, RAID systems can be complex to design, yet offer key security advantages.

Data archiving software is an essential building block of data storage, because every company needs to store sensitive, important data in a secure and Data archiving software provides firms with a powerful and easy way to archive their data for long-term storage and retrieval.

As organizations substantially increase their reliance on cloud-based services and applications, they require faster, and more flexible and secure