Developing Solutions Using Apache Hadoop

by Tim Seears download a PDF brochure

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.

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

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
Pig Into
Pig Data Operations
Pig ETL Features
Pig Clustering Solution
Hive Introduction
Hive Features
Combined Hive and Pig Solution
HBase
HCatalog
MapReduce, Pig, Hive and HCatalog in a Combined Solutions

What you will learn

At the completion of the course students will be enabled to perform the following:

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

Main Topics

MapReduce Code
HDFS
MapReduce -JobTracker, TaskTracker and Running Jobs
MapReduce Combiner
MapReduce Partitioner
MapReduce Distributed Cache
MapReduce Streaming
MapReduce Data Handling
Pig Into
Pig Data Model
Pig Scripting Language
Hive
HCatalog
HBase
Enterprise Integration
Future of Hadoop