About this Course

Cloudera’s four-day developer training course delivers the key concepts and expertise necessary to create robust data processing applications using Apache Hadoop.

COURSE OUTLINE

• The Motivation for Hadoop
  
• Hadoop Basic Concepts
  
• Writing a MapReduce Program
  
• Integration Hadoop Into The Workflow
  
• Delving Deeper Into The Hadoop API
  
• Using Hive and Pig
  
• Common MapReduce Algorithms
  
• Practical Development Tips and Techniques
  
• More Advanced MapReduce Programming
  
• Joining Data Sets in MapReduce Jobs
  
• Graph Manipulation in Hadoop
  
• Creating Workflows with Oozie
  
• Cloudera Certified Developer for Apache Hadoop (CCDH) exam

LEARNING OUTCOME

Through lecture and interactive, hands-on exercises, attendees will navigate the Hadoop ecosystem, learning topics such as

• MapReduce and the Hadoop Distributed File System (HDFS) and how to write MapReduce code
  
• Best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms
  
• How to leverage Hive, Pig, Sqoop, Flume, Oozie and other projects from the Apache Hadoop ecosystem
  
• Optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster
  
• Advanced Hadoop API topics required for real-world data analysis
  

Upon completion of the course, attendees are able to attempt the Cloudera Certified Developer for Apache Hadoop (CCDH) exam. Certification is a great differentiator; it helps establish individuals as leaders in their field, providing customers with tangible evidence of their skills.

TARGET AUDIENCE

This course is intended for experience developers who wish to write, maintain, and/or optimize Apache Hadoop jobs. A background in Java is preferred, but experience with other programming language such as PHP, Python or C# is sufficient.

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