Cloudera Developer Training for Apache Hadoop Copy

Cloudera Developer Training for Apache Hadoop Copy

 

  • Certification Price

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    INR 74400
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  • Non Certification Price

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    INR 62000
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  • Non Certification Early Bird Price

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    INR 55800
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  • Certification Early Bird Price

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    INR 66960
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About The Event

Cloudera’s 4-day training program gives Hadoop developers the expertise to harness the full power of the open source technology and bring their organizations' data to life.

Xebia is an official training partner of Cloudera, the leader in Apache Hadoop-based software and services.

! Please note, that you need to bring your own laptop for this training.

It was helpful, informative. The hands on exercises were really good. 
- Sr. Software Engineer, Walt Disney 

Programme and Course Overview

Learn how to harness the power of Apache Hadoop by building robust data processing applications that unlock the full potential of your (big)data.

Xebia (based in Hilversum, Amsterdam area) is an official training partner of Cloudera, the leader in Apache Hadoop-based software and services.

Xebia Univeristy delivers a developer-focused Cloudera Certified training course that closely analyzes Hadoop’s structure and provides hands-on exercises that teach you how to import data from existing sources; process data with a variety of techniques such as Java MapReduce programs and Hadoop Streaming jobs; and work with Apache Hive and Pig.

The course alternates between instructional sessions and hands-on labs.

Certification

Upon completion of the course, attendees receive a Cloudera Certified Developer for Apache Hadoop (CCDH) practice test. Certification is a great differentiator; it helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.
Learn more about the CCDH Certification Exam here:http://cloudera.com/content/cloudera/en/training/certification/ccdh.html

Target Group & Prerequisites: 

This course is appropriate for developers who will be writing, maintaining and/or optimizing Hadoop jobs. Participants should have programming experience; knowledge of Java is highly recommended. Understanding of common computer science concepts is a plus. Prior knowledge of Hadoop is not required.

Key Promises of this Training

The core technologies of Hadoop.
How HDFS and MapReduce work.
How to develop MapReduce applications.
How to unit test MapReduce applications.
How to use MapReduce combiners, partitioners and the distributed cache.
Best practices for developing and debugging MapReduce applications.
How to implement data input and output in MapReduce applications.
Algorithms for common MapReduce tasks.
How to join data sets in MapReduce.
How Hadoop integrates into the data center.
How Hive, Impala and Pig can be used for rapid application development.
How to create large workflows using Oozie.

Agenda

Introduction
The Motivation for Hadoop
Hadoop: Basic Concepts and HDFS
Introduction to MapReduce
Hadoop Clusters and the Hadoop Ecosystem
Writing a MapReduce Program in Java
Writing a MapReduce Program Using Streaming
Unit Testing MapReduce Programs
Delving Deeper into the Hadoop API
Practical Development Tips and Techniques
Reducers and Partitioners
Data Input and Output
Common MapReduce Algorithms
Joining Data Sets in MapReduce Jobs
Integrating Hadoop into the Enterprise Workflow
An Introduction to Hive, Impala and Pig
An Introduction to Oozie
Conclusion
Appendix: Cloudera Enterprise