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.

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 ...

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 ...

Big on Data bro Andrew Brust's recent post on the spring cleaning of Hadoop projects evidently touched a nerve, given the readership numbers that went off the charts. By now, the Apache Hadoop family ...

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 ...