What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

今回は、 Hadoopの構成要素である並列データ処理フレームワークMapReduceにおける実装アーキテクチャの特徴について解説します。加えて、 類似のシステムである並列データベースを取り上げ、 想定するワークロードなどの違いについて解説します。 Apache ...

Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

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When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

第一部では、 Hadoopなどの並列データ処理系の基礎である並列データベース技術や分散システム技術を解説してきました。第二部では、 実際の処理系により焦点を当て、 それらの設計と実装を見ていきます。 第二部では、 最初の4回を用いて、 Apache Hadoopの ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Amazon announced the release of Elastic MapReduce (EMR) 5.0.0 today, which includes, among other things, support for 16 open source Hadoop projects. As AWS continues to hone its various tools to help ...

Data is the new currency of the modern world. Businesses that successfully maximize its value will have a decisive impact on their own value and on their customers’ success. As the de-facto platform ...