MarkLogic has underlined its intent to increase links between its NoSQL database and open-source big-data platform Hadoop. The firm's involvement with Hadoop goes back to November 2011 when it ...
Microsoft will offer its own distribution of the Hadoop data processing framework for Windows Server and Azure. The move, announced by Microsoft's corporate vice president, Ted Kummert, at the Pass ...
Hadoop’s capabilities now make it possible to stream data into the cluster and analyze it in an interactive fashion—both in real time. Hadoop was purpose-built for cost-effective analysis of data sets ...
Jeff Hammerbacher says that Facebook tried them all. And none of them did what the web giant needed them to do. Hammerbacher is the Harvard-trained mathematician Facebook hired in 2006. His job was to ...
Hadoop is big and getting bigger. One recent estimate says that Hadoop currently had a market worth $1.5 billion dollars in 2012, and is projecting a compound annual growth rate of 54.7% between 2012 ...
IBM announced two new technologies to help enterprises tackle big data by making it simpler, faster and more economical to analyze massive amounts of data. At an event at its Almaden Research Center ...
Hadoop carries a lot of promise in the IT world for the way it has democratized access to massively parallel storage and computational power. But the level of hype that surrounds Hadoop is ...
When Morgan tried to do some portfolio analysis 18 months ago it found that traditional databases and grid computing just wouldn’t scale to the very large volumes of data that its data scientists ...
As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...
Conventional wisdom holds that as a batch-oriented platform, Hadoop is not well suited for running high-performance analytics applications. This week, however, Actian unveiled the Actian Analytics ...
Yale University researchers on Monday released an open-source parallel database that they say combines the data-crunching prowess of a relational database with the scalability of next-generation ...