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 ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Enterprises worldwide are under increased scrutiny to properly manage customer data. Responsible use of customer information and ensuring the privacy of petabytes worth of customer account data such ...

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 ...

The amount of data generated by businesses today has reached unprecedented levels following successive waves of digitalization across products, services, operations, and supply chains, and as a result ...

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 ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. Turn back the clock a decade or so, and you ...

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 ...

Having covered over the last several columns the key WAN factors affecting application performance as well as the “chattiness” issues of certain applications, a lot of the history of the Enterprise ...