2015/09/10 「Ansible 入門 #01 (初心者向け) 」の資料です。 ハンズオンの答え => https://github.com/uorat/ansible-handson.git https://atnd.org/events/68155
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The document provides an introduction to YARN, HDFS federation, and HDFS high availability. It discusses limitations of the original MapReduce framework and HDFS, such as single points of failure. It then summarizes improvements in YARN including distributed resource management and the ability to run multiple applications. HDFS federation and high availability address scalability and reliability c
In early 2012, a group of engineers with background in distributed systems and machine learning came together to form Adatao (a-’DAY-tao). We saw a major unsolved problem in the nascent Hadoop ecosystem: it was largely a storage play. Data was sitting passively on HDFS, with very little value being extracted. To be sure, there was MapReduce, Hive, Pig, etc., but value is a strong function of (a) s
The Architecture of Open Source Applications (Volume 1) The Hadoop Distributed File System Robert Chansler, Hairong Kuang, Sanjay Radia, Konstantin Shvachko, and Suresh Srinivas The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directl
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