O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国
Andrew Wang

Andrew Wang
Software Engineer, 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 AMPLab 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.

议题

11:15–11:55 Friday, 2017-07-14
Hadoop内核&发展 (Hadoop internals & development), 英文讲话 (Presented in English)
地点: 多功能厅2(Function Room 2) 观众水平 (Level): Beginner
Andrew Wang (Cloudera), Daniel Templeton (Cloudera)
Apache Hadoop 3.0 has made steady progress toward a planned release this year. Andrew Wang and Daniel Templeton offer an overview of new features, including HDFS erasure coding, YARN Timeline Service v2, and MapReduce task-level optimization, and discuss current release management status and community testing efforts dedicated to making Hadoop 3.0 the best Hadoop major release yet. 了解更多信息.
16:20–17:00 Saturday, 2017-07-15
Hadoop内核&发展 (Hadoop internals & development), 英文讲话 (Presented in English)
地点: 多功能厅2(Function Room 2) 观众水平 (Level): 中级 (Intermediate)
Andrew Wang (Cloudera), 郑锴 (Intel)
Hadoop3.0 引入了纠删码技术。在常见配置下,纠删码相对于传统数据3备份模式可以降低50%的存储成本,同时提高数据的可靠性。在本次演讲中,我们首先会简短的介绍HDFS纠删码技术, 然后深入了解在Hadoop 3.0 GA 前我们为保证纠删码功能稳定性做的工作,以及分享Hadoop生态系统中重要成员Spark, Hive,Impala, Kylin等等在HDFS 纠删码上的性能表现。最后,我们会给出在生产环境中部署使用纠删码技术的一些考虑和建议。 了解更多信息.

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