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Developing Hadoop Applications In Java - San Jose -November 27-30

Hortonworks, Inc. & Guident

Tuesday, November 27, 2012 at 9:00 AM - Friday, November 30, 2012 at 5:00 PM (PST)

Ticket Information

Ticket Type Sales End Price Fee Quantity
Early Bird (10% off) Ended $2,550.50 $0.00
Full Course Ended $2,795.00 $0.00

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Event Details

Event Details:

“Developing Hadoop Java  in Applications” is a hands-on training course that takes a deep-dive into developing 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 Hadoop and Java MapReduce to manipulate, analyze and perform computations on their Big Data.

 

Course Objectives:

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

·      Write a MapReduce application using Eclipse and Maven

·      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 HBase data from a Java MapReduce job

·      Write custom, user-defined functions for Pig and Hive

 

Course Outline


Day 1

·      Understanding Hadoop and MapReduce

·      Writing MapReduce Applications

·      Map Aggregation

 

Day 2

·      Partitioning and Sorting

·      Input and Output Formats

 

Day 3

·      Optimizing MapReduce Jobs

·      Advanced MapReduce Features

·      Unit Testing

·      Finding Trends

 

Day 4

·      Controlling Workflow with Oozie

·      HBase Development

·      Integrating MapReduce with Pig and Hive

 

 

Extensive hands-on lab experience

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

 

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



 

Facility Details including directions, parking, hotel recommendations, and more.


Please contact us at hwuniversity@hortonworks.com if you have any questions and/or comments.

 


 

Have questions about Developing Hadoop Applications In Java - San Jose -November 27-30? Contact Hortonworks, Inc. & Guident

When & Where


ExecuTrain - San Jose, CA
2025 Gateway Pl
#390
San Jose, CA 95110

Tuesday, November 27, 2012 at 9:00 AM - Friday, November 30, 2012 at 5:00 PM (PST)


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Organizer

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.

  Contact the Organizer

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