In the big data battle for architectural supremacy, the cloud is clearly winning and Hadoop is clearly losing. Customers are shying away from investing in monolithic Hadoop clusters in favor of more ...

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.

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 ...

Big data analytics is one of the major trends every company is told it must jump on for competitive advantage, even survival. As a result, there’s a lot of mythology around big data. Those myths can ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

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 ...

It's been amusing to watch the NoSQL movement transition from a "We don't need no stinking SQL" attitude to a "Can I please have some SQL with that?" philosophy. The nonrelational databases that ...