Hadoop Boot Camp Agenda (2 days)

Hadoop Conceptual and Physical Architecture
Students will learn the how and why of Hadoop through a thorough discussion of the Hadoop conceptual and physical architecture. Students will also learn to configure Hadoop for all three modes of operation.

Thinking in MapReduce with Common and Advanced Patterns
Students will learn the principles behind MapReduce and how to implement common MapReduce patterns. Advanced patterns are also introduced in depth. Lastly students are taught a way to model and design complex applications that can execute on MapReduce without having to think in MapReduce.

Hadoop API
Students will be introduced to all the core Hadoop API interfaces and classes. This will be reinforced though the development of increasingly complex Hadoop applications.

Hadoop MapReduce in Practice
Students will be able to interact with a distributed cluster in order to see how applications behave once distributed across nodes through the management interfaces.

Alternative Interfaces
Students will learn about all available high level interfaces for Hadoop and MapReduce. Some of these interfaces include PIG, HIVE, and Cascading.