Developing Solutions using Apache Hadoop

COURSE OUTLINE:

Description This four-day course provides Java programmers the necessary training for creating enterprise solutions using Apache Hadoop. It consists of an effective mix of interactive lecture and extensive hand-on lab exercises.

After successfully completing this course each student will receive one free voucher for the Hadoop Certified Developer exam

Audience
Java programmers who want to better understand how to create Apache Hadoop solutions

Learning Objectives

Write a MapReduce program using Hadoop API
Utilize HDFS for effective loading and processing of data with CLI and API.
Understand best practices for building, debugging and optimizing Hadoop solutions.
Use Pig, Hive, HBase and HCatalog effectively

Day 1

Overview
MapReduce Code
HDFS
MapReduce - JobTracker, TaskTracker and Running Jobs

Day 2

MapReduce Combiner
MapReduce Partitioner
MapReduce Distributed Cache
MapReduce Streaming
MapReduce Data Handling

Day 3

Pig Into
Pig Data Model
Pig Scripting Language
Hive - Part 1

Day 4

Hive - Part 2
HCatalog
HBase
Enterprise Integration
Future of Hadoop

Extensive hands-on lab experience

Students will work through the following exercises using the Hortonworks Data Platform:

Running a Hadoop Solution
MapReduce Programming
HDFS
MapReduce in Operation
MapReduce with Combiner
MapReduce with Partitioner
MapReduce with a Secondary Sort and a Custom Comparator
MapReduce with Distributed Cache
MapReduce with Data Handling
MapReduce with Streaming
Using Pig for a Join
Using Pig for a Clustering Algorithm
Using Pig with User-Defined Functions
Basic Hive
Using Hive for a Join
HBase Basics
HCatalog Basics
MapReduce, Pig, and Hive in a Combined Solutions
Solving a Problem from Conception to Completion

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