NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...

It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

Over at the Hortonworks Blog, Jim Walker writes that the shift to data-oriented business is happening everywhere. An as many enterprises are learning, interoperability is the key to building their Big ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

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The terms ‘Big Data’ and ‘Hadoop’ have come to be almost synonymous in today’s world of business intelligence and analytics. The promise of easy access to large volumes of heterogeneous data, at low ...

It's about time: More than 10 years after we first heard the term, "big data" has become productive. The world’s largest enterprises — Apple, Wal-Mart and countless others — run large-scale data ...

Industrial environments such as those found within large electric and gas utilities are producing massive volumes of data in real-time that is overwhelming traditional ICT architectures. Additionally, ...

Hadoop isn’t living up to its hype -- which means that both Hadoop vendors and their customers need to widen their array of big data technologies Hadoop makes all the big data noise. Too bad it’s not ...

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing, is ...