To date, many enterprises have relied on backup technologies to meet archiving requirements. However, as data protection requirements become more demanding, this approach falls short. Backups must be continuous (or nearly so), creating an expensive storage capacity problem when these…
Previously in this blog series, Storage Switzerland discussed the roles of data protection and data management in the modern data center. Each adds unique value when it comes to cost-efficiently facilitating data availability and privacy, but most software solutions on…
Disaster Recovery as a Service (DRaaS) is an ideal cloud use case. DRaaS uses a cloud provider’s resources and allocates them on-demand to an organization in the midst of a disaster. With DRaaS, organizations no longer need to worry about…
Data protection is essential but expensive. The primary source of data protection expense is the required significant investment in the physical infrastructure. However, the cost of the physical infrastructure is much more than how much the organization spends on storage…
Most data centers give up on their storage consolidation projects. The storage mainframe approach described in blog 2 is too costly and too restrictive, and the traditional software-defined storage approach described in blog 3 doesn’t support broad enough use cases.…
Today’s organizations look at data differently: It’s seen as an asset that can be mined to improve product creation and delivery as well as improve customer satisfaction. External forces also see data differently: Governments and customers expect organizations to maintain…
For most organizations, unstructured data is their biggest problem. The need to store all this data is forcing IT to expand primary storage capacities at an alarming rate. Unstructured data not only threatens to break IT budgets, but also force…
Modern data privacy regulations and business requirements to utilize data for competitive advantage make it important for storage professionals to ensure that file data is managed in a way that controls the costs of underlying infrastructure while at the same…
Containers and microservices are on the tipping point of disrupting the market, by serving the agility required by modern DevOps-centric business processes. However, serving persistent storage to containerized applications as they are moved into production is difficult with legacy data…
Data visualization and querying tools are all the rage, as businesses rely more on data analytics to compete more effectively. Meanwhile, the ability to query data is becoming more important in light of the need to adhere to data privacy…
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