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Hadoop

The Apache Hadoop framework for the processing of data on commodity hardware is at the center of the Big Data picture today. Key solutions and technologies include the Hadoop Distributed File System (HDFS), YARN, MapReduce, Pig, Hive, Security, as well as a growing spectrum of solutions that support Business Intelligence (BI) and Analytics.



Hadoop Articles

Not all Hadoop packages offer a unique distribution of the Hadoop core, but all attempt to offer a differentiated value proposition through additional software utilities, hardware, or cloud packaging. Against that backdrop, Intel's distribution of Hadoop might appear to be an odd duck since Intel is not in the habit of offering software frameworks, and the brand, while ubiquitous, is not associated specifically with Hadoop, databases or big data software. However, given its excellent partnerships across the computer industry, Intel has support from a variety of vendors, including Oracle and SAP, and many of the innovations in its distribution show real promise.

Posted December 18, 2013

As unstructured data overtakes structured data within enterprises, the coming year will see the start of a reassessment of how data is architected, stored, and queried in enterprises. To meet this challenge, new technologies and solutions have already begun to transform data management within enterprises.

Posted December 17, 2013

While there have always been many database choices, it's only recently that enterprises have been embarking on new journeys with their data strategies. Today's database landscape is increasingly specialized and best of breed, due to the expanding range of new varieties of databases and platforms—led by NoSQL, NewSQL, and Hadoop. This is complicating the already difficult job of bringing all these data types together into a well-integrated, well-architected environment.

Posted December 04, 2013

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