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 ...
When it comes to Hadoop, the popular perception is that the open source data management framework is limited to mainly batch-oriented applications. As a result, running any serious real-time analytics ...
I gave an introductory talk on Hadoop yesterday at the Visual Studio Live! conference in Las Vegas. During the talk, I discussed how Hadoop Streaming, a utility which allows arbitrary executables to ...
Hadoop disrupted, and in some ways became synonymous with big data, by offering a framework for cheap storage and scale out processing. Parallel to Hadoop came the flurry of NoSQL solutions that also ...
The ability to inexpensively collect massive amounts of Big Data using Hadoop is one thing. Being able to manage all that data is another matter altogether. With that issue in mind, Hortonworks today ...
Apache Hadoop users will soon be able to analyze data as it is streamed from its source, thanks to a partnership between data-warehouse software provider Informatica and Hadoop distributor MapR. The ...
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