至顶网服务器频道 05月31日 新闻消息:近日MapR宣布推出了一款名为Quick Start Solution(QSS)的新解决方案,专注于深度学习应用。MapR强调,QSS是一款分布式深度学习产品和服务,能够大规模训练复杂的深度学习算法。 想法是这样的:深度学习需要有大量数据,这 ...
Hadoop training courses and certification programs are available from companies including Cloudera, Hortonworks, IBM and MapR. But if you’re not ready to commit to formal training courses, there are ...
Hadoop供应商MapR今天宣布获得1.1亿美元的股权和债务混合融资,其中8000万美元的债务融资由Google Capital领投,参与的还有高通创投。之前的投资方Lightspeed Venture Partners, Mayfield Fund, NEA and Redpoint Ventures也有参加。这已经是今年第三起Hadoop公司的大额投资了,之前两起 ...
Hadoop的发行版除了社区的Apache hadoop外,cloudera,hortonworks,mapR,EMC,IBM,INTEL,华为等等都提供了自己的商业版本。商业版主要是提供了专业的技术支持,这对一些大型企业尤其重要。每个发行版都有自己的一些特点,本文就各发行版做简单介绍。 2008 年成立的 ...
MapR's latest Hadoop distribution includes support for Hadoop 2.2 with YARN, but is also backward compatible with the MapReduce 1.x scheduler, promising organizations a risk-free upgrade path to the ...
SAN JOSE, CA--(Marketwired - Oct 6, 2014) - MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today announced it will deliver several presentations, including a ...
MapR Technologies is pursuing a unique strategy in the world of Big Data technology. Instead of focusing on offering a pure open source distribution like Hortonworks, or on adding additional ...
Hadoop厂商之一MapR近日宣布,其获得3000万美元风投,时至今日,其融资总额从2011年发布以来已经突破了5900万美元。 Hadoop被认为是大数据时代解决方案的首选,基于Hadoop社区也有各大发行版的Hadoop。由于其来源不一(对Hadoop原有架构进行大幅改动),MapR也就成为了 ...
When it emerged from stealth in 2011, MapR was an outlier in the Hadoop community. At the time, Hadoop was defined largely by two projects adapted from Google research: MapReduce, which introduced ...
The company has taken a different tack with its distribution than competitors Cloudera and Hortonworks-unlike it competitors, MapR has committed to backward compatibility, enabling organizations to ...
SAN JOSE, Calif.--(BUSINESS WIRE)--MapR Technologies, Inc., today announced the MapR Advantage Partner Program. The Program, created to enable diverse organizations within the Hadoop community expand ...
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