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 ...

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 ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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 ...

Business today moves faster than ever—and it’s driven by massive amounts of data to inform, enhance and accelerate decisions that can make or break a company. Data virtualization has played a pivotal ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data virtualization is the process of cleansing and ...

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 ...