Big Data
Accelerate mapreduce and datastore programs by running
on a parallel pool or Hadoop® cluster
Parallel Computing Toolbox™ extends the capabilities of MATLAB® MapReduce
and Datastore, so that you can run big data applications on a parallel
pool for improved performance. MATLAB Distributed Computing Server™ also
supports running parallel MapReduce programs on Hadoop clusters.
Functions
| mapreduce |
Programming technique for analyzing data sets that do
not fit in memory |
| mapreducer |
Define parallel execution environment for mapreduce |
| parpool |
Create parallel pool on cluster |
| gcp |
Get current parallel pool |