Big Data Hadoop,Linux, Oracle 12c, MySQL & Tableau Data Analysis 第二期 02/16

[USA LaoTu Support Team]

大数据, 数据分析培训, Big Data  Hadoop, MongoDB, Oracle 12c, Linux,MySQL & Tableau Data Analysis  Term1 18:00 to 20:30 Tue,Thu 02/16  to 03/24
12 x 2.5 hour sessions, total 30 hours
6:00pm to 8:30pm (USA PST, Los Angeles Time) Tue, Thu 02/16 to 03/24

上过第一期课同学们说: 这是一个高大上的课! 得到太多好东西了!
First class, teacher showed to students:
-- How to build up a Linux Server;
-- How to Install Oracle 12c into Linux Server;
-- How to install MySQL on Linux Server
-- Many useful Linux commands, and trouble shooting.

This class covers lots of very interesting stuff.
You will be excited when you get all these system installed in your computer!

Includes 30 Lab works.


Big Data Hadoop 部分（依据Hadoop权威指南）：
1、hadoop体系介绍
2、实施hadoop集群
3、HDFS
4、map-reduce体系结构
5、map-reduce数据分析1
6、map-reduce数据分析2
7、Hbase体系结构及安装
8、HBase数据分析及建模、实战案例分析
9、Hive安装、体系结构及HQL案例分析
10、pig安装及pig latin语言应用案例

Mongodb
1、mongodb安装与部署
2、document insert、delete、update
3、find、分页、游标管理
4、index
5、数据库命令操作、固定集合
6、数据移动与备份、用户管理
7、主从复制
8、分片

第三部分 Tableau with Big Data analysis
1、Tableau 9.1 with Oracle Database 12c on Hadoop 2.6.1
2、connecting to databases and advanced features
3、editing data connections and data sources
4、cubes advanced
5、format settings
6、dashboard development
7、share dashboard
8、basic mapping analysis
9、introduction to calculations
10、statistics calculations
11、R Integration
12、bollinger bands chart
13、analyzing sales data
14、waterfall charts chart

[USA LaoTu Support Team]

Date and Time
This webinar meets 12 times.
Tue, Feb 16, 2016 6:30 PM - 8:30 PM PST
Thu, Feb 18, 2016 6:00 PM - 8:30 PM PST
Tue, Feb 23, 2016 6:00 PM - 8:30 PM PST
Thu, Feb 25, 2016 6:00 PM - 8:30 PM PST
Thu, Mar 3, 2016 6:00 PM - 8:30 PM PST
Tue, Mar 8, 2016 6:00 PM - 8:30 PM PST
Thu, Mar 10, 2016 6:00 PM - 8:30 PM PST
Tue, Mar 15, 2016 6:00 PM - 8:30 PM PDT
Thu, Mar 17, 2016 6:00 PM - 8:30 PM PDT
Tue, Mar 22, 2016 6:00 PM - 8:30 PM PDT
Thu, Mar 24, 2016 6:00 PM - 8:30 PM PDT
Tue, Mar 29, 2016 6:00 PM - 8:30 PM PDT