Learn spark computing framework in practice (00)

Spark Programming based ：00. A preliminary understanding

Reference books ： Xiamen University - Lin Ziyu -Spark Programming based
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Prerequisite courses ：（ Current situation ： understand ）
1. Introduction to big data technology ：《 Principle and application of big data technology 》
2. Principle of database system ：（ Understanding relational databases and SQL sentence ）
3. Programming ability ：（ Understand the basics of object-oriented programming , Such as Java、C++）
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《Spark Programming based 》 brief introduction ：

• With Scala As a development Spark The programming language of the application .

• The whole book consists of 8 Chapter ：

  1. Overview of big data technology
  2.Scala Language foundation
  3.Spark Design and operation principle of
  4.Spark Environment construction and use methods
  5.RDD Programming
  6.Spark SQL
  7.Spark Streaming
  8.Spark MLlib
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  Course experiment ：
  Experiment 1 ：Linux System installation and common commands
  Experiment two ：Scala Basic programming practice
  Experiment three ：Spark and Hadoop Installation
  Experiment four ：RDD Basic programming practice
  Experiment five ：Spark SQL Basic programming practice
  Experiment six ：Spark Streaming Basic programming practice
  Experiment seven ：Spark Machine learning library MLlib Programming practice

Comprehensive experiment ：
Case a ： Data analysis and prediction of Taobao's double 11
Case 2 ：Spark+Kafka Build real-time analytics Dashboard Case study

（ Continuous updating 、 Improving ...）