Apache Hadoop 3.0的特性和开发进展的更新 [session]

讲师：Andrew Wang (Cloudera), Daniel Templeton (Cloudera)

11:15–11:55 Friday, 2017-07-14

Hadoop内核&发展 (Hadoop internals & development)

英文讲话

地点： 多功能厅2

观众水平：Beginner
必要预备知识

A high-level understanding of Apache Hadoop components like HDFS, YARN, and MapReduce
您将学到什么

Explore new Hadoop 3.0 features like HDFS erasure coding, YARN Timeline Service v2, and more and learn about the release and development status and community testing and stabilization efforts related to Hadoop 3.0
描述

Apache Hadoop已经伴随着开源的大数据分析同步地发展了十多年。伴随着即将发布的3.0版，Apache Hadoop持续地进化着，并不断地加入显著的新特性，比如HDFS可擦除编码、YARN的时间线服务版本2和MapReduce的任务级别的优化。加在一起，这些新特性增强了Hadoop的性能、可扩展性和多租户的能力。
在本演讲里，我们会给出一个Apache Hadoop发布版本的简史，随后再综合介绍Apache Hadoop 3.0版的特性。我们也会给出目前3.0版本进展状态的更新，以及整个社区在测试和稳定代码上的努力。这些工作保证了Hadoop 3将会是最好的主要发布版本。


讲师介绍

Andrew Wang (Cloudera)



Andrew Wang is a software engineer at Cloudera on the HDFS team, an Apache Hadoop committer and PMC member, and the release manager for Hadoop 3.0. Previously, he was a PhD student in the AMP Lab at UC Berkeley, where he worked on problems related to distributed systems and warehouse-scale computing. He holds a master’s and a bachelor’s degree in computer science from UC Berkeley and UVA respectively.
Daniel Templeton (Cloudera)



Daniel Templeton has a long history in high-performance computing, open source communities, and technology evangelism. Today, Daniel works on the YARN development team at Cloudera, where he focuses on the resource manager, fair scheduler, and Docker support.
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