Big Data Analytics With Hadoop

Introduce analysts to the Hadoop ecosystem and its analytics capabilities.

Get Course Info

Audience: Business Analysts, Developers

Duration: 2 days

Format: Lectures and hands-on labs.

Overview

Apache Hadoop is a popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads into the traditional BI analytics world. This course will introduce an analyst to the core components of the Hadoop ecosystem and its analytics.

Objective

Introduce analysts to the Hadoop ecosystem and its analytics capabilities.

What You Will Learn

Understanding Hadoop ecosystem
Data storage using HDFS
Data warehousing and querying using Hive

Course Details

Audience: Business Analysts, Developers

Duration: 2 days

Format: Lectures and hands-on labs.

Prerequisites:

Programming background with databases / SQL; basic knowledge of Linux

Setup: Zero Install cloud cluster • SSH client • Browser

Detailed Outline

Hadoop overview
Distributions
High level architecture
Hardware / software
Labs : first look at Hadoop

Concepts (horizontal scaling, replication, data locality)
Architecture (Namenode, Data node)
Demo : Interacting with HDFS

YARN operating system
Demo : Running applications on YARN program

Hive concepts & architecture
SQL support in Hive
Data warehousing in Hive
Data types
Table creation and queries
Partitions
Joins
Modern data formats
Text analytics
Hive performance
Labs (multiple)