Hadoop Training

Hadoop is an Apache Software Foundation (ASF) project that contains a suite of open-source software for scalable, reliable, distributed computing. Hadoop training includes courses in Hadoop application development and administration with specific emphasis on using the MapReduce framework.

Online Classroom Hadoop Training Schedule

Instructor-led Online Training

Training CourseFeb, 2012Mar, 2012Apr, 2012May, 2012
Hadoop Training with MapReduce  Apr 06-08
 
Hadoop Administration Mar 10-11
 May 12-13
Hadoop Overview for Managers Mar 15
Class is Confirmed to Run!
 May 19

Hadoop Training with MapReduce

This 3-day hands-on Hadoop training course is designed for experienced developers and provides a fast track to building reliable and scalable application systems using Hadoop open-source software. Hadoop frameworks and tools are specifically geared towards processing of large datasets. Practical case studies will be demonstrated in class to show how Hadoop is used in real world today to solve different problems. MapReduce training is an essential component of this course.

Hadoop Administration Training Course

This 2-day hands-on Hadoop for System Administrators class is designed for technical operations personnel whose job is to installand maintain production Hadoop clusters in real world. We will cover Hadoop architecture and its components, installation process,monitoring and troubleshooting of the complex Hadoop issues. The class includes practical hands-on exercises and encourages opendiscussions of how people are using Hadoop in enterprises dealing with large data sets.

Hadoop Overview for Managers Training Course

Hadoop Overview For Managers training course is designed for technical personnel and management who are evaluating and considering using Hadoop to solve their data scalability problems. We will cover Hadoop basics and discuss best practices using Hadoop in enterprises dealing with large data sets. Hadoop benefits and case studies on how other organizations are using Hadoop will be presented.