training

This repo is to add all related jupyter notebook for training Target audience is data science beginners.

Current Jupyter notebooks:

Unix Since in the Data Science field, we normally need to transfer data between servers and do operation on servers. Basic Unix command skills are necessary. Besides, this is very useful when you use Hadoop hdfs related commands. Actually quite some of hdfs command are coming from unix command.
Scala This is the cource preparation for Spark. As spark is written by Scala, we need to know basic for Scala before we go into Spark.
Spark we are going to cover basic spark training, including read file and use sql to query Hive data and HBase data. DataFrame operation also.
Jupyter notebook how to open jupyter notebook and how to write code in the jupyter
Hive Introduction @todo
HBase Introduction @todo

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
data		data
img		img
templates		templates
text		text
.gitignore		.gitignore
00_Overall_Training_Plan.ipynb		00_Overall_Training_Plan.ipynb
01-01-Unix_Shell_Command_Intro.ipynb		01-01-Unix_Shell_Command_Intro.ipynb
01-02_Shell_Script.ipynb		01-02_Shell_Script.ipynb
02-01-Scala_Intro.ipynb		02-01-Scala_Intro.ipynb
03-01_01_Install_Jupyter_Scala.ipynb		03-01_01_Install_Jupyter_Scala.ipynb
03-01_02_Install_BeakerX.ipynb		03-01_02_Install_BeakerX.ipynb
03-02_MapReduce_Intro.ipynb		03-02_MapReduce_Intro.ipynb
03-03_Spark_Intro.ipynb		03-03_Spark_Intro.ipynb
03-04_Spark_App_Build_Intro.ipynb		03-04_Spark_App_Build_Intro.ipynb
03-05_Spark_Example.ipynb		03-05_Spark_Example.ipynb
04-Jupyter_Notebook.ipynb		04-Jupyter_Notebook.ipynb
05-Hive_Introduction.ipynb		05-Hive_Introduction.ipynb
06-HBase_Introduction.ipynb		06-HBase_Introduction.ipynb
07-Design Pattern.ipynb		07-Design Pattern.ipynb
08-Git and BitBucket.ipynb		08-Git and BitBucket.ipynb
README.md		README.md

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