Introduce theoretically and practically the principle of the map-reduce generic model, study its application on classic well adapted problems and identify the limitations that lead to the specification of map-reduce variants.

• Develop examples using the Hadoop implementation for showing the use of the map-reduce model on data processing problems
• Learn how to define experiments
• Define a catalogue of problem families that can be implemented using the map reduce model
• Study variants of the map-reduce model for example with shared memory in order to program challenging data processing problems like join implementations.
• Develop a solution for a challenging problem using a map-reduce model.