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大数据处理高级

分布式进阶、性能优化

价格 ¥ 5999.00

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课程介绍

【课程简介】

通过本课程，你可以对分布式是系统设计的原理有着深刻的认识和理解，可以实现更高效的分布式程序，对hadoop的性能优化有着进更深入的认识，掌握复杂问题的解决方案。同时也对其他一些常见的nosql解决方案有所了解。

【大咖导师】

呼老师-前百度资深工程师

中国科学技术大学、香港城市大学双博士，读博期间获得朱李月华优秀博士生奖。2008年加入百度自然语言处理部篇章分析组的技术负责人，拥有10项专利申请。2014年创业，任职数据部技术总监，负责数据挖掘分析技术部，为客户提供大数据分析及消费者分析的整体解决方案。现在进行互联网金融方面的创业。

【课程内容】

章1hdfs mapreduce高阶

节1Hdfs 模型回顾
节2Hdfs进阶
节3Mr回顾
节4Mr编程高阶技巧
节5Mr的Secondary sort
节6实训：Mr高阶控制技巧实践及Secondary sort实现

章2hbase

节1Hbase简介
节2Hbase的数据模型
节3Hbase的架构
节4hbase的关键流程
节5实训：hbase环境搭建及编程实践

章3Yarn

节1hadoop的问题
节2Yarn引入
节3Yarn架构
节4Yarn的开发
节5实训：Yarn环境搭建及操作实践

章4大数据系统下的数据仓库

节1平台应用场景
节2传统数据仓库
节3大数据时代的特点
节4理论基础
节5调度与入库
节6模型与多维度分析
节7实训：全面搭建一个模拟的数据仓库系统

章5zookeeper

节1背景
节2Paxos协议简介
节3Zookeeper架构
节4Zookeeper使用接口
节5Zookeeper的应用场景
节6实训：利用zk实现一个分布式锁服务

章6理论提升

节1分布式系统定义
节2系统分类
节3事务与并发解决
节4故障恢复及异常处理
节5一致性原理
节6实训：实现一个简单的冗灾处理系统

目录

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