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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

To recognize the best information management solutions in the marketplace, Database Trends and Applications has launched the DBTA Readers' Choice Awards, a program in which the winners will be selected by the experts whose opinions count above all others - you. The nominations period will conclude on March 28, 2014, and voting will begin on April 11.

Posted February 28, 2014

In the last several years, there has been an explosion in the array of choices for not only managing relational and unstructured data but also protecting it and extracting value from it. To shine a spotlight on the best data management offerings, DBTA will soon open nominations for our first-ever Readers' Choice Awards.

Posted February 26, 2014

MapR Technologies, a provider of an an enterprise-grade platform for NoSQL and Hadoop, is expanding its Asia Pac presence with a new office in Seoul and a partnership agreement with LG CNS, a global IT service provider that will provide system integration and consulting services across Korea for the MapR Distribution for Hadoop and NoSQL.

Posted February 19, 2014

Splice Machine, provider of a real-time SQL-on-Hadoop database for big data applications, has completed a $15M Series B round of funding, led by InterWest Partners, along with returning Series A investor Mohr Davidow Ventures (MDV). The investment will be used to accelerate product development and expand sales and marketing in preparation for the company's upcoming public beta offering later this quarter.

Posted February 18, 2014

To help secure sensitive data, including regulated and high-risk data like medical, payment, insurance and financial data, Gazzang is providing data encryption and key management support for Pivotal HD, the Hadoop distribution from Pivotal.

Posted February 11, 2014

Today at the Strata conference in Santa Clara, MapR Technologies unveiled the latest MapR Distribution including Hadoop 2.2 with YARN for next-generation resource management. The company also announced availability of the MapR Sandbox for Hadoop, which provides a fully-configured virtual machine installation of the MapR Distribution for Apache Hadoop to allow users to jump-start their Hadoop exploration; and the early access release of the HP Vertica Analytics Platform on MapR.

Posted February 11, 2014

Veristorm is providing a commercial Hadoop distribution for Linux on the mainframe, with drag-and-drop access to mainframe databases and files. The platform, vStorm Enterprise, also enables access and analytics of sensitive mainframe data and other big data sources.

Posted January 21, 2014

To say that big data is the sum of its volume, variety, and velocity is a lot like saying that nuclear power is simply and irreducibly a function of fission, decay, and fusion. It's to ignore the societal and economic factors that—for good or ill—ultimately determine how big data gets used. In other words, if we want to understand how big data has changed data integration, we need to consider the ways in which we're using—or in which we want to use—big data.

Posted January 20, 2014

DBTA is seeking speakers who possess unique insight into leading technologies, and experience with successful IT and business strategies for the Data Summit conference in New York City, May 12-14, 2014. The deadline to submit your proposal is January 31, 2014.

Posted January 20, 2014

In 2013, two major shifts in the big data landscape occurred, which can be described as the Battle Over Persistence and the Race for Access Hill. The acceptance of leveraging the strengths of various database technologies in an optimized Modern Data Platform has more or less been resolved, but the recognition of a single point of access and context is next. Likewise, the race for access will continue well into 2014.

Posted January 07, 2014

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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