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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

There’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply ...

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 ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

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 ...

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 ...

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

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 ...