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HBase数据thedata | Jsp/Servlet 2022-10-23 96 0star收藏 版权: . 保留作者信息 . 禁止商业使用 . 禁止修改作品
一、课程用到的软件1.centos6.72.apache-tomcat-7.0.473.solr-5.54.zookeeper3.4.65.eclipse-jee-neon-R-win32-x86_646.jdk1.7_497.HBase1.2.28.Ganglia3.7.29.Sqoop1.99.710.Hadoop2.7.2二、课程方案当数据量达到TB或PB级的时候,传统联系型数据型已力不从心。在大数据热潮中,推出了NoSQL数据库,这种天生就为分布式存储而设计的技术,特别以ApacheHBase为代表,占领海量数据存储技术的大半壁河山。本教视从实践观点出来,向学员们手把手掌握HBase使用精华,让学员达到如下方案:1.理解分布式存储的原理及架构。2.掌握如何使用HBase实现海量数据存储与检索。3.掌握HBase在开发中常见的技术大坑与调优技术。
基于微博数据使用的HBase实践开发.txt
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(1、 Software used in the course 1. centos6.72. apache-tomcat-7.0.473. solr-5.54. zookeeper3.4.65. eclipse jee-neon-R-win32-x86_ 646.jdk1.7_ 497. HBase1.2.28. Ganglia 3.7.29. Sqoop 1.99.710. Hadoop 2.7.2 II. Course plan When the data volume reaches TB or PB, the traditional connection data type has failed. In the big data boom, NoSQL database was introduced, which is a technology designed for distributed storage, especially represented by Apache HBase, and accounts for more than half of the mass data storage technology. This teaching view comes from the practical point of view, and teaches students to grasp the essence of using HBase hand by hand, so that students can achieve the following solutions: 1. Understand the principle and architecture of distributed storage. 2. Master how to use HBase to store and retrieve massive data. 3. Master the common technical pitfalls and optimization technologies in HBase development.
HBase practical development based on microblog data.txt
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