mapreduce is a programming technique which is suitable
for analyzing large data sets that otherwise cannot fit in your computer’s
memory. Using a
datastore to process the data in small
chunks, the technique is composed of a Map phase, which formats the data or
performs a precursory calculation, and a Reduce phase, which aggregates all
of the results from the Map phase. For more information, see Getting Started with MapReduce.
For information about using other products with
mapreduce, see Speed Up and Deploy MapReduce Using Other Products.
Auxiliary Object Methods
- Getting Started with MapReduce
Learn about the MapReduce programming technique and run an example calculation.
- Write a Map Function
Create a map function for use in a
- Write a Reduce Function
Create a reduce function for use in a
- Speed Up and Deploy MapReduce Using Other Products
Capabilities of other products to speed up and share
This example shows how to debug
mapreduce algorithms in
MATLAB®. Debugging enables you to follow the movement of data between the different
mapreduce execution and inspect the state of all