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Developing Apache Hadoop Applications in Java

Big Data Partnership

Monday, 25 November 2013 at 09:30 - Thursday, 28 November 2013 at 17:30 (GMT)

Developing Apache Hadoop Applications in Java

Registration Information

Registration Type Sales End Price Fee VAT Quantity
Developing Apache Hadoop Applications in Java (Individual)   more info Ended £1,995.00 £0.00 £399.00

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Event Details

Course - Developing Solutions for Apache Hadoop on Windows


This 4 days hands-on training course takes a deep-dive into developing Java MapReduce applications for Big Data deployed on the Hadoop Distributed File System (HDFS). Students who attend this course will learn how to harness the power of Apache Hadoop™ and MapReduce to manipulate, analyze and perform computations on their Big Data.

This is a Hortonworks University class delivered by Big Data Partnership, a certified training partner.


4 days


Course Objectives

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

  • Write a Java MapReduce application using Eclipse and Maven
  • Develop a Combiner to perform map aggregation
  • Customize input and output formats of a MapReduce job
  • Compute mathematical computations on your Big Data files
  • Use best practices to optimize MapReduce jobs
  • Create JUnit tests for a MapReduce job
  • Discover trends in your Big Data
  • Define an Oozie workflow
  • Access Apache HBase™ data from a Java MapReduce job
  • Write custom, user-defined functions for Apache Pig™ and Apache™ Hive

Lab Content

Students will work through the following exercises using Eclipse, Maven and the Hortonworks Data Platform:

  • Configuring a Hadoop ™ Development Environment
  • Word Count
  • Distributed Grep
  • Inverted Index
  • Using a Combiner
  • Computing an Average
  • Writing a Custom Partitioner
  • Using a TotalOrderPartitioner
  • Custom Sorting
  • Writing a Custom InputFormat
  • Customizing Output
  • Simple Moving Average
  • Using Data Compression
  • Defining a RawComparator
  • A Map-Side Join
  • Using a Bloom Filter
  • Unit Testing
  • Defining an Oozie Workflow
  • Term Frequency–Inverse Document Frequency (TF-IDF)
  • Accessing HBase from Java MapReduce
  • Writing a User-Defined Pig Function
  • Writing a User-Defined Hive Function

Target Audience / Prerequisites 


This course assumes students have experience developing Java applications and using a Java IDE. Labs are completed using the Eclipse IDE and Maven.

Experienced Java developers responsible for developing MapReduce applications and performing analysis of Big Data stored on Apache Hadoop.


Lab Requirements

All necessary equipment and infrastructure required to perform lab exercises are provided.



Big Data Partnership will provide a light breakfast and lunch for each day of the class. Unlimited teas, coffees & soft drinks provided.


Cancellation & Reschedule Policy

You must provide a written notice to Big Data Partnership at least 2 weeks' prior to the start of the class if you cannot attend this class. Big Data Partnership will transfer your registration to a future class of equal or lesser value.

Students who fail to cancel within 2 weeks' and/or do not attend the class, will not receive a refund and will be charged the full amount.

Big Data Partnership can cancel or reschedule at any time at our discretion. In the event that the class is cancelled or rescheduled, we will work with you to apply your registration to another date or refund your fee in full. Big Data Partnership is not responsible for non-refundable travel or other expenses incurrred by the student.

Contact Information

If you have any questions concerning this class, please do not hesitate to contact training@bigdatapartnership.com.

Do you have questions about Developing Apache Hadoop Applications in Java? Contact Big Data Partnership

When & Where

Euston House
24 Eversholt St
NW1 London
United Kingdom

Monday, 25 November 2013 at 09:30 - Thursday, 28 November 2013 at 17:30 (GMT)

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Big Data Partnership

Big Data Partnership is the leading European-based big data service provider.

Our team has deep expertise across a wide range of big data technologies and data science techniques.

Our recent projects have included:

  • the Apache Hadoop ecosystem
  • Apache Spark
  • Apache Cassandra
  • Yarn
  • Elasticsearch 

And a range of other NoSQL databases & search technologies. 

Big Data Partnership helps organisations across all industries become more data-driven by reducing costs and grasping new big-data opportunities, rapidly and at low risk.

We help you Discover why and how to become data driven; we work with you to Develop and prove the value of this approach; we Deliver cost effective solutions which exploit faster and more scalable technology. We reduce risk by Training your staff in the necessary new skills and by providing Support.

For more information, visit http://www.bigdatapartnership.com.

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Developing Apache Hadoop Applications in Java
London, United Kingdom Events Course

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