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 ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

“Customers who have invested in both MapR and Teradata solutions have requested integration, so now is the right time to expand our partnership. As customers continue to build out analytic ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial intelligence and machine learning has expanded predictive capabilities, while edge ...

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 ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of ...

The floods that devastated the hard disk industry in Thailand are now half a year old, and the prices per terabyte are finally dropping once again. That means data will start piling up and people ...

One feature of the big data revolution is the acknowledgement that a single database management system architecture cannot meet all needs. For instance, if you need a system that can reliably process ...

During the past few years Neustar, an $830 million publicly-traded data analytics company, has undergone a dramatic business transformation, and it’s been powered almost entirely by Hadoop. The ...