课程目录
1-1 [课程答疑 QQ 群：574185645] 老汤大数据课程体系介绍 (06:21) 2-1 [真实项目软件版本信息] 真实项目软件版本信息(必须学习) (22:46) 3-1 [数据仓库概述] OLTP与OLAP的特点 (07:10) 3-2 [数据仓库概述] 传统数据仓库及其面临的问题 (16:01) 3-3 [数据仓库概述] Using Hadoop for Data Warehous (11:54) 3-4 [数据仓库概述] 大数据平台结构 (12:55) 4-1 [Batch ETL] 关系型数据库三范式(Normal Form)设计 (16:53) 4-2 [Batch ETL] OLTP Schema设计-电影评分系统部分表设计 (11:08) 4-3 [Batch ETL] OLTP Schema设计-数据准备 (13:02) 4-4 [Batch ETL] 定义分析场景以及选择存储引擎 (07:16) 4-5 [Batch ETL] OLAP Schema设计-星型设计 (21:41) 4-6 [Batch ETL] Tracking updates in hadoop (10:00) 4-7 [Batch ETL] 文件格式、压缩算法以及分区的选择 (05:24) 4-8 [Batch ETL] sqoop1的安装以及原理 (15:02) 4-9 [Batch ETL] Sqoop-Example (37:00) 4-10 [Batch ETL] Sqoop-Password (08:32) 4-11 [Batch ETL] Movie-ETL (23:44) 4-12 [Batch ETL] user_rating-ETL (31:23) 4-13 [Batch ETL] user-ETL (23:39) 4-14 [Batch ETL] movie-analysis (07:38) 4-15 [Batch ETL] Batch ETL数据仓库真实数据量 (05:42) 4-16 [Batch ETL] Sqoop-export (06:27) 4-17 [Batch ETL] Spark SQL可以替代Sqoop (12:01) 4-18 [Batch ETL] Sqoop2简介 (02:51) 5-1 [Streaming ETL] 系统日志 (06:12) 5-2 [Streaming ETL] 交易系统的日志 (26:40) 5-3 [Streaming ETL] 业务日志一 (13:16) 5-4 [Streaming ETL] 业务日志二 (24:45) 5-5 [Streaming ETL] Flume-Exec-HDFS (31:42) 5-6 [Streaming ETL] Flume-SpoolDir-HDFS (20:21) 5-7 [Streaming ETL] Flume-TAILDIR-HDFS (29:21) 5-8 [Streaming ETL] Flume Source之间以及Channel之间的对比 (18:35) 5-9 [Streaming ETL] Flume Headers (15:03) 5-10 [Streaming ETL] Flume-Interceptors (10:11) 5-11 [Streaming ETL] 复杂Streaming ETL (18:13) 5-12 [Streaming ETL] 复杂Streaming ETL部署 (20:17) 5-13 [Streaming ETL] 小文件合并 (13:39) 5-14 [Streaming ETL] Kafka所承担的角色 (03:48) 5-15 [Streaming ETL] Kafka收集数据 (15:26) 5-16 [Streaming ETL] 实时抓取传统数据库(Mysql)的更新数据到HDFS (07:36) 5-17 [Streaming ETL] 总结 (04:52) 6-1 [CDH & Cloudera Manager] CDH (21:18) 6-2 [CDH & Cloudera Manager] Cloudera Manager (15:17) 6-3 [CDH & Cloudera Manager] 集群角色分配以及资源计算 (19:17) 6-4 [CDH & Cloudera Manager] 生产资源配置建议 (07:23) 6-5 [CDH & Cloudera Manager] CM和CDH的版本选择 (03:29) 6-6 [CDH & Cloudera Manager] CDH的安装 (13:40) 6-7 [CDH & Cloudera Manager] CDH平台讲解 (20:05) 6-8 [CDH & Cloudera Manager] CDH各个服务的配置 (08:34) 6-9 [CDH & Cloudera Manager] CDH日志的查看 (10:18) 6-10 [CDH & Cloudera Manager] CDH查看各个服务的WEB UI (05:47) 6-11 [CDH & Cloudera Manager] Spark和Yarn的History Server的讲解 (13:17) 6-12 [CDH & Cloudera Manager] 如何关闭CDH和Cloudera Manager (04:20)
