Cloudera Developer Training for Apache Hadoop
- Level
- Total time
Cloudera Developer Training for Apache Hadoop
Starting dates and places
Description
Course Summary
This four-day training course is for developers who want to learn to use Apache Hadoop to build powerful data processing applications.
You Will Learn
- 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 to use Mahout’s machine learning algorithms
- How Hive and P…
Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
Course Summary
This four-day training course is for developers who want to learn to use Apache Hadoop to build powerful data processing applications.
You Will Learn
- 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 to use Mahout’s machine learning algorithms
- How Hive and Pig can be used for rapid application development
- How to create large workflows using Oozie
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.
Hands-On Exercises
Throughout the course, students write Hadoop code and perform other hands-on exercises to solidify their understanding of the concepts being presented.
Certification Exam
Following successful completion of the training class, attendees receive a Cloudera Certified Developer for Apache HBase (CCDH) practice test. Cloudera training and the practice test together provide the best resources to prepare for the certification exam.
Outline
- Introduction
- The Motivation for Hadoop
- Hadoop: Basic Concepts
- Writing a MapReduce Program
- Unit Testing MapReduce Programs
- Delving Deeper into the Hadoop API
- Practical Development Tips and Techniques
- Data Input and Output
- Common MapReduce Algorithms
- Joining Data Sets in MapReduce Jobs
- Integrating Hadoop into the Enterprise Workflow
- Machine Learning and Mahout
- An Introduction to Hive and Pig
- An Introduction to Oozie
- Conclusion
- Appendix: Graph Processing in Map Reduce
Stay up-to-date on new reviews
Share your review
Do you have experience with this course? Submit your review and help other people make the right choice. As a thank you for your effort we will donate $1.- to Stichting Edukans.There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.