“From architecture perspective Apache Spark is based on two key concepts; Resilient Distributed Datasets (RDD) and directed acyclic graph (DAG) execution engine”

hadoop
Spark

sechiro のブックマーク 2014/07/10 01:52

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/203328685/comment/sechiro" data-user-id="sechiro" data-entry-url="https://b.hatena.ne.jp/entry/s/dzone.com/articles/apache-spark-fast-big-data" data-original-href="https://dzone.com/articles/apache-spark-fast-big-data" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fdzone.com%2Farticles%2Fapache-spark-fast-big-data" data-user-icon="/users/sechiro/profile.png">Apache Spark - a Fast Big Data Analytics Engine - DZone</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/hadoop">hadoop</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/Spark">Spark</a>]</li></ul><br><p style="clear: left"> “From architecture perspective Apache Spark is based on two key concepts; Resilient Distributed Datasets (RDD) and directed acyclic graph (DAG) execution engine”</p><a class="datetime" href="https://b.hatena.ne.jp/sechiro/20140710#bookmark-203328685"><span class="datetime-body">2014/07/10 01:52</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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