Map Reduce and Hadoop

A short introduction to the basic ideas.
  1. 1 Cloud Computing
    1. 1.1 Everyone Agrees
    2. 1.2 Driving Factors
    3. 1.3 Death of Moore's Law
    4. 1.4 Google, Goose Creek, SC
    5. 1.5 Governor Sanford
    6. 1.6 Map Reduce
  2. 2 Functional Programming
    1. 2.1 Functions
    2. 2.2 By Value Only
    3. 2.3 Map
    4. 2.4 Reduce
    5. 2.5 Map then Reduce
    6. 2.6 On a Large Scale
  3. 3 Hadoop
    1. 3.1 Map Function
    2. 3.2 Reduce Function
    3. 3.3 Process
    4. 3.4 Parallelism
    5. 3.5 Example: Count Word Occurrences
    6. 3.6 WordCount in Java
    7. 3.7 Language Support
    8. 3.8 Hadoop Behind the Scenes
    9. 3.9 Hadoop Conclusions
Entire Presentation with Notes

Copyright © 2009 José M. Vidal . All rights reserved.

27 October 2008, 03:03PM