Organizations can no longer afford to rely on a traditional data warehouse solution to support new business intelligence (BI) requirements along with their existing BI workloads. The rigid development ...

Today’s enterprise challenges demand near real-time access to data. While that seems to be a must, the application ecosystem continues to present a growing array of data persistence options, such as ...

The rising complexity of data and the solutions to manage it continue to transform the modern data landscape. Enterprises today are faced with integrating and analyzing a diverse mix of old and new ...

As organizations get comfortable with the idea of virtualizing mission critical applications, they're turning their attention to unified communications (UC). Some even see it as the next big thing in ...

To fulfill the promise of big data, you need to abstract data from its underpinnings -- at both the data and infrastructure layers Big data in the cloud has so many potential functional service layers ...

Virtual machines (VMs) have dramatically transformed the way IT organizations approach the computing architecture. Initially employed to provide greater efficiency, server virtualization has quickly ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

The impact virtualization has had in my own work over the last few years has completely changed the way I think about computing infrastructure. I also believe the same will be true of most the network ...

Explores modern, modular data architectures for SecOps, moving beyond legacy SIEMs to reduce costs while improving visibility ...

How storage virtualization technologies allow you to keep pace with ever-increasing storage requirements while maintaining high availability and service levels In just a few short years, storage ...