Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of the ...

Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive — and constantly growing — datasets.

The global hadoop big data analytics market size was US$ 14.1 billion in 2021. The global hadoop big data analytics market is forecast to grow to US$ 33.7 billion by 2030 by growing at a compound ...

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 ...

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 ...

Big data is a collection of organized, semistructured, and unstructured data that may be mined for information and are used in machine learning, predictive modeling, as well as other advanced ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...

Hadoop is everywhere, but a strong competitor is making headway in the market. It's all thanks to years of production use and a solid big data pedigree that powers the billion-dollar LexisNexis ...

When Morgan tried to do some portfolio analysis 18 months ago it found that traditional databases and grid computing just wouldn’t scale to the very large volumes of data that its data scientists ...