Big Data with Hadoop and Spark

This course will introduce developers to the Hadoop ecosystem, focus on multiple programming models including MapReduce, Pig, Hive, and Apache Spark.

Basic knowledge of programming in Java

Developers who wish to obtain the skills and knowledge to develop big data solutions with Hadoop and Spark.

• Developing MapReduce programs in Java
• Analyzing Data using Pig and Hive
• Distributed programming with Spark
• Using Machine learning algorithms

Hadoop Introduction

• Big Data Analytics
• What is and Why Hadoop
• Comparing Hadoop with Other Technologies
• Hadoop Architecture
• Hadoop Ecosystem
• Hadoop Usage Examples

Hadoop Installation
• Hadoop Operational Modes
• Hadoop Installation Options

Hadoop HDFS
• What Is and Why HDFS
• HDFS Architecture
• HDFS Features
• HDFS Commands
• Hue Web UI

Hadoop MapReduce
• Hadoop MapReduce Operational Architecture
• MapReduce General Concepts
• Hadoop MapReduce Programming
• Hadoop MapReduce Framework
• Hadoop MapReduce Example: Word Count
• Executing Hadoop MapReduce Application
• Input File and Input Format

Hadoop Pig
• What Is and Why Pig?
• Executing Pig
• Pig Latin Concepts
• Pig Latin Script: Operators and Functions
• Pig Latin Script: Structure
• Pig Latin Relational Operators
• Pig Examples

Hadoop Hive
• What Is and Why Hive?
• Hive Architecture
• HiveQL
• Physical Layout
• Loading Data into Hive Tables
• Partitions
• Joining
• Buckets

Spark Workshop
• Why Spark?
• Basic Concepts
• Running on Clusters
• Spark SQL
• Spark Streaming

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