Hadoop Design Patterns Has code image
Serge Blazhievsky
This class is designed to demonstrate how to solve the most common problems with Map/Reduce technologies and to optimize your Map/Reduce jobs to run efficiently on a given Hadoop cluster. The differences among types of joins will be described with real code examples. After this class, you will understand:
  • Different types of joins in Map/Reduce
  • ETL design patterns
  • Sort and secondary sort
  • Data-driven design patterns
Level : Intermediate