About this course:

Apache Hadoop is an open-source framework used for creating distributing and reliable compute clusters. Hadoop is credited with the IBM Watson Jeopardy victory of 2011, and can be used alongside other related frameworks, to process major semi-structures or unstructured data sets from several sources to classify, learn from, dissect, as well as put forward suggestions for decision support, business analytics, as well as other advanced forms of machine intelligence.

The hands-on, introductory-level lab-centric course is centered on the administrators who are new to Hadoop and has been made responsible for the maintenance of Hadoop clusters and related components. Hadoop is designed for huge scalability, and it is quite tolerant of faults, as compared to other cluster architectures. As administrators, learners will need to install, configure and maintain Hadoop on Linux, among various compute environments.

The course agenda may be customized easily in order to address areas of certain interest to the team. There are lab variations which support Hortonworks and Cloudera distributions as well.

The average salary of a Hadoop Administrator is $122,005 per year.  

Course objective:

• Install, configure and maintain Apache Hadoop framework
• Explore MLib, Mahout and other frameworks
• Explore YARN, Spark and MapReduce
• Hadoop architecture
• Install Hadoop
• Test Hadoop programs
• Tune and optimize the performance of Hadoop
• Install Hadoop for HBase and the cloud

Audience:

Administrators who are maintaining Hadoop cluster and related components in Linux environments

Prerequisite:

There are no required prerequisites for the course.