Examples of using Mapreduce in English and their translations into Dutch
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Computer
-
Ecclesiastic
-
Official/political
-
Programming
Python implementation of mapreduce connector.
which hence can be called from within a MapReduce job.
Hadoop MapReduce- an implementation of the MapReduce programming model for large-scale data processing.
Hadoop 2.0 focuses on scale and innovation, with Yarn(next-generation MapReduce) and federation capabilities.
Mrjob fully supports Amazon's Elastic MapReduce(EMR) service,
Mrs(pronounced"missus") is an open source software that implements Google's popular parallel programming model, MapReduce.
While MapReduce parallelises algorithms on a logical level,
for data exploration, and(if applicable) for MapReduce.
In response to pressing practical needs a variety of systems arose for handling big data, like e.g., MapReduce as introduced by Google,
executing joins to link data sets in MapReduce.
In addition, it allows to optionally store intermediate results(between MapReduce job steps)
to interrogate it clevery using MapReduce.
As a framework for data-intensive distributed applications, Hadoop is based on the so-called MapReduce model, where an algorithm is subdivided into lots of small pieces of work which can be executed in parallel.
recently announced its services are directly through AWS Marketplace- in spite of AWS's new auto-scaling for Elastic MapReduce EMR.
MapReduce, the computational framework,
is compatible with both MapReduce and Spark execution engines on Hadoop.
MapReduce- Hadoop's processing component.
Spark programs can run up to 100x faster than equivalent Hadoop MapReduce jobs.
Mike Cafarella re-implemented the Google distributed file system GFS and Google's MapReduce idea in Java within a web crawler project called Nutch. Since then,
Hadoop MapReduce- an implementation of the MapReduce programming model for large-scale data processing.