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Developing Solutions Using Apache Hadoop - LIVE ONLINE - USA - DEC 17-20

Hortonworks, Inc. & Guident

Monday, December 17, 2012 at 9:00 AM - Thursday, December 20, 2012 at 5:00 PM (EST)

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird (10% off) Ended $2,515.50 $0.00
Full Course (includes exam voucher) Ended $2,795.00 $0.00

Share Developing Solutions Using Apache Hadoop - LIVE ONLINE - USA - DEC 17-20

Event Details

This event will be delivered live online during United States business hours, on the Eastern Time Zone.  Details and instructions will be sent to you the week prior. 

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.  


Course Objectives

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

  • Execute an Apache Hadoop project from conception to completion.
  • 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, monitoring and optimizing Hadoop solutions.


Course Outline

Day 1

  • Overview
  • MapReduce Code
  • HDFS Intro
  • HDFS Admin
  • MapReduce – JobTracker, TaskTracker and 
  • Running Jobs

Day 2

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

Day 3

  • Pig Intro & Pig Latin Basics
  • More Pig Latin
  • Advanced Pig Latin
  • Embedding Pig with Python
  • 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



Target Audience

Java is preferred, but experience in other programming languages such as PHP,C,C+ is sufficient

Please contact us at if you have any questions and/or comments.



Have questions about Developing Solutions Using Apache Hadoop - LIVE ONLINE - USA - DEC 17-20? Contact Hortonworks, Inc. & Guident


Monday, December 17, 2012 at 9:00 AM - Thursday, December 20, 2012 at 5:00 PM (EST)

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Hortonworks, Inc. & Guident

Hortonworks is focused on accelerating the development and adoption of Apache Hadoop. Together with the Apache community, we are making Hadoop more robust and easier to use for enterprises and more open and extensible for solution providers. We also provide expert support and training.

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