Something that doesn't get talked about enough in the service orientation world is data virtualization. That is, it's handy to be able to pull data from various sources into an abstracted service ...

With more volume, variety, and velocity of data, the challenges of data management are getting harder. Business users are spending more time trying to integrate, analyze, and earn insights from their ...

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 ...

LONDON--(BUSINESS WIRE)--Data virtualization in today’s world is driven by several factors, including maturing of traditional data management systems, increasing computing power, and a declining ...

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 ...

Because applications are the lifeblood of the modern business, there’s a heavy burden on developers to provide modern, integrated, high-quality applications — and to do so in a compressed timeframe.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...