MapReduce is a framework introduced by Google in 2004 to support distributed computing on large data sets on clusters of computers. Some research papers from Google describe MapReduce.
http://labs.google.com/papers/
Hadoop is an opensource implementation based on the Google's MapReduce and Google File System (GFS) papers. Hadoop is a project of the Apache Foundation (http://hadoop.apache.org/). There are several opensource projects using Hadoop for many different applications. Database systems such as Cassandra and HBase are based on Hadoop. Currently, websites such as Facebook, Yahoo, Amazon and Hulu, are using these software products for providing high scalability and availability.
There are several other implementations and applications of the MapReduce principles. Amazon and AppScale, for example, also provide APIs for MapReduce processing.
If you are interested in an opensource solution (based on google app engine) that you can deploy on Eucalyptus, you can also review AppScale.
http://code.google.com/p/
http://labs.google.com/papers/
Hadoop is an opensource implementation based on the Google's MapReduce and Google File System (GFS) papers. Hadoop is a project of the Apache Foundation (http://hadoop.apache.org/). There are several opensource projects using Hadoop for many different applications. Database systems such as Cassandra and HBase are based on Hadoop. Currently, websites such as Facebook, Yahoo, Amazon and Hulu, are using these software products for providing high scalability and availability.
There are several other implementations and applications of the MapReduce principles. Amazon and AppScale, for example, also provide APIs for MapReduce processing.
If you are interested in an opensource solution (based on google app engine) that you can deploy on Eucalyptus, you can also review AppScale.
http://code.google.com/p/
Introduction
If you are interested in a basic introduction, there is a presentation
you can use...
http://ccsl.ime.usp.br/wiki/
and some lectures from a Google´s seminar that can be used as an introduction
http://sites.google.com/site/
Apache´s website also includes other presentations
http://wiki.apache.org/hadoop/
Tutorials
If you are interested in tutorials and training material, you can
check some basic tutorials from Apache and Yahoo
http://hadoop.apache.org/
http://developer.yahoo.com/
Also, maybe you can use some training material from Cloudera. Cloudera
is a company offering commercial distribution and support for Hadoop.
They provide a tutorial in their website...
https://ccp.cloudera.com/
and some videos from Cloudera webinars (including one about common
problems that can be solved with Hadoop)
http://www.cloudera.com/
http://www.cloudera.com/
If you are interested in a basic introduction, there is a presentation
you can use...
http://ccsl.ime.usp.br/wiki/
and some lectures from a Google´s seminar that can be used as an introduction
http://sites.google.com/site/
Apache´s website also includes other presentations
http://wiki.apache.org/hadoop/
Tutorials
If you are interested in tutorials and training material, you can
check some basic tutorials from Apache and Yahoo
http://hadoop.apache.org/
http://developer.yahoo.com/
Also, maybe you can use some training material from Cloudera. Cloudera
is a company offering commercial distribution and support for Hadoop.
They provide a tutorial in their website...
https://ccp.cloudera.com/
and some videos from Cloudera webinars (including one about common
problems that can be solved with Hadoop)
http://www.cloudera.com/
http://www.cloudera.com/
Other lectures
If you are interested in lectures for specific courses, you can check
the listing referenced in Google Code University
http://code.google.com/intl/
http://code.google.com/intl/
http://code.google.com/intl/
Additionally, there are some lectures from Berkeley as part of a
course on Structure and Interpretation of Computer Programs...
http://www.youtube.com/watch?
http://www.youtube.com/watch?
and some others from an stanford course on mining large data sets (using Hadoop)
http://www.stanford.edu/class/
Other Ideas
Finally, there are some other videos in the internet
http://lanyrd.com/topics/
http://www.mapreduce.org/
If you are interested in lectures for specific courses, you can check
the listing referenced in Google Code University
http://code.google.com/intl/
http://code.google.com/intl/
http://code.google.com/intl/
Additionally, there are some lectures from Berkeley as part of a
course on Structure and Interpretation of Computer Programs...
http://www.youtube.com/watch?
http://www.youtube.com/watch?
and some others from an stanford course on mining large data sets (using Hadoop)
http://www.stanford.edu/class/
Other Ideas
Finally, there are some other videos in the internet
http://lanyrd.com/topics/
http://www.mapreduce.org/
