Apache Spark

Course Overview:

Apache Spark Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will gain in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.

Course Content:

Introduction

♦ What is Hadoop platform

♦ Why Hadoop platform

♦ What is Spark

♦ Why spark

♦ Evolution of Spark

Introduction to Scala

♦ Functional Programing Vs Object Orient Programing

♦ Scalable language

♦ Scala Overview

SPARK Environment

♦ Configuring Apache Spark

SCALA Environment

♦ JAVA Setup

♦ SCALA Editor

♦ Interpreter

♦ Compiler

Deep Dive into Scala

♦ Benefits of Scala

♦ Language Offerings

♦ Type inferencing

♦ Variables

♦ Functions

♦ LOOPS

♦ Control Structures

♦ Vals

♦ Arrays

♦ Lists

♦ Tuples

♦ Sets

♦ Maps

♦ Traits and Mixins

♦ Classes and Objects

♦ First class functions

♦ Clousers

♦ Inheritance

♦ Sub classes

♦ Case Classes

♦ Modules

♦ Pattern Matching

♦ Exception Handling

♦ FILE Operations

Deep Dive into Spark

♦ Spark Shell

♦ Parallel Programming

♦ Context

♦ RDD

♦ Transformations

♦ Programming with RDD

♦ Actions

♦ Broadcast Variables

♦ Accumulators

Spark EcoSystem

♦ Spark Streaming

♦ MLlib

♦ GraphX

♦ Spark SQL.

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