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 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 ...

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 ...

Informatica is joining the growing ranks of vendors moving to support Hadoop, the open-source framework for large-scale or “big data” processing, the company announced Monday. The 9.1 version of ...

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 ...