Become proficient in both *Scala * <https://goo.gl/4SEsJR>and *python * 
<https://goo.gl/4SEsJR>to implement programming skills on Apache *spark * 
<https://goo.gl/4SEsJR>and have independent understanding of all three 
platforms


<https://lh3.googleusercontent.com/-cLbf-uTlINc/VyFebC0mV0I/AAAAAAAAAB4/IqqsVaPtMpQ0B25BLwcJfvIZHfKk0ATEgCLcB/s1600/G%252B%2Bspark%2Bscala%2Bpython.png>


*Objectives:*
   
   - Understand the difference between Apache Spark <https://goo.gl/4SEsJR> 
   and Hadoop
   - Learn Scala and its programming implementation
   - Implement Spark on a cluster
   - Write Spark Applications using Python, Java and Scala
   - Understand Module 4-RDD and its operation
   - Learn common Spark Algorithms
   - Define and explain Spark Streaming
   - Execute Pattern Matching in Scala <https://goo.gl/4SEsJR>
   - Understand Scala Java Interoperability
   - Understand the purpose, importance and Installation of Python 
   <https://goo.gl/4SEsJR>
   - Get expertise in Python core Data types, Regular Expressions, Looping, 
   and object Oriented Programming
   - Master the concepts of File Operations, Functions, Special methods of 
   defining a Class and SQLite in Python
   - Take a quick overview on Panda
   - Learn how to manage Hadoop File System
   - Get an understanding on Server logs, Pig script and Work Flow Editor
   - Work on a detailed Project on Web Logging in Python and Implement 
   everything you learnt on a live Project
   - Work on Minor and Major Projects applying programming techniques of 
   Scala to run on Spark applications

Start learning Spark | Scala | Python <https://goo.gl/4SEsJR> from basics 
to advance levels.

> *https://goo.gl/4SEsJR*
>

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