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Author Topic: Big Data Hadoop, MongoDB, MySQL, Oracle 12c, Tableau 第四期 3/7 – 4/13/17  (Read 16319 times)

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大数据, 数据分析培训, Big Data Hadoop, MongoDB, MySQL, Oracle 12c, Tableau 第四期 3/7 – 4/13/17
12 x 2.5 hour sessions, total 30 hours
6:00pm to 8:30pm (USA PST, Los Angeles Time) Tue, Thu 3/7 – 4/13/17

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.


Part 1: Big Data Hadoop (Based on Hadoop Document Guide)

1、Introduction to Hadoop ecosystem
2、Install and setup Hadoop  system
3、HDFS Hadoop Distributed File System
4、map-reduce system structure
5、map-reduce data analysis 1
6、map-reduce data analysis 2
7、Hbase system sttucture and installation
8、HBase data analysis and modeling, real case analysis
9、Hive installation, system structure and HQL  case analysis
10、Pig system installation, pig latin introduction and case analysis
 
Part 2: Mongodb
1、mongodb installation and setup
2、document insert、delete、update
3、find、page, cursor administration
4、index
5、Database operation command,  fixed sets operations
6、Data replication and backup, user management
7、Primary and secondary system setup
8、Data Fregmentation
 
Part 3: 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

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This online live class meets 12 times:

Tue, Mar 7, 2017 6:00 PM - 8:30 PM PST
Thu, Mar 9, 2017 6:00 PM - 8:30 PM PST
Tue, Mar 14, 2017 6:00 PM - 8:30 PM PDT
Thu, Mar 16, 2017 6:00 PM - 8:30 PM PDT
Tue, Mar 21, 2017 6:00 PM - 8:30 PM PDT
Thu, Mar 23, 2017 6:00 PM - 8:30 PM PDT
Tue, Mar 28, 2017 6:00 PM - 8:30 PM PDT
Thu, Mar 30, 2017 6:00 PM - 8:30 PM PDT
Tue, Apr 4, 2017 6:00 PM - 8:30 PM PDT
Thu, Apr 6, 2017 6:00 PM - 8:30 PM PDT
Tue, Apr 11, 2017 6:00 PM - 8:30 PM PDT
Thu, Apr 13, 2017 6:00 PM - 8:30 PM PDT


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This class will includes Apache Hadoop Spark.

WHAT APACHE SPARK DOES
Apache Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to allow data workers to efficiently execute streaming, machine learning or SQL workloads that require fast iterative access to datasets. With Spark running on Apache Hadoop YARN, developers everywhere can now create applications to exploit Spark’s power, derive insights, and enrich their data science workloads within a single, shared dataset in Hadoop.

本次课将会详细的价绍Spark.

同学们可以从课程网页下载如下文件:

Download document Oracle Linux 7 Setup.

Download spark.2.1.0 file size 193MB.

Download Python.3.4.6. file size 19MB.

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以往核心课和MSBI课的同学们,注册Hadoop MongoDB Tableau 这门课后, 可以得到如下福利:
-- 参加周三专业求职辅导会 一年;
-- 参加Listen 上此课期间的 online live 核心课, 比如这个周日就开的:Access Excel VBA online live class.