Apache Hadoop 3.0的特性和開發進展的更新 [session]

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

11:15–11:55 Friday, 2017-07-14

Hadoop核心&發展 (Hadoop internals & development)

英文講話

地點： 多功能廳2

觀眾水平：Beginner

必要預備知識

A high-level understanding of Apache Hadoop components like HDFS, YARN, and MapReduce

您將學到什麼

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已經伴隨著開源的大資料分析同步地發展了十多年。伴隨著即將釋出的3.0版，Apache Hadoop持續地進化著，並不斷地加入顯著的新特性，比如HDFS可擦除編碼、YARN的時間線服務版本2和MapReduce的任務級別的優化。加在一起，這些新特性增強了Hadoop的效能、可擴充套件性和多租戶的能力。

在本演講裡，我們會給出一個Apache Hadoop釋出版本的簡史，隨後再綜合介紹Apache Hadoop 3.0版的特性。我們也會給出目前3.0版本進展狀態的更新，以及整個社群在測試和穩定程式碼上的努力。這些工作保證了Hadoop 3將會是最好的主要釋出版本。

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講師介紹

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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