Apache Hadoop: Hadoop is a software framework that allows running of large volume of data-involved applications. It is based on MapReduce and GoogleFileSystem (GFS). It has replication of data in various nodes so that failures are well managed. Hadoop enables splitting of tasks into smaller chunks. Also any node can pick these small tasks as data is available across all nodes.
MapReduce: This was written by Google. The concept is that large data and its related activities are mapped to various nodes. Once all the nodes have finished executing the tasks, the results are reduced to deduce the desired output.
I could not understand the concept of GFS completely. Hence deferring my understanding on the same.
Google Cloud site: https://cloud.google.com/ You can use Google's cloud infrastructure to build applications, deploy them, store and analyze data.
Microsoft's Cloud site: By the way, it is called Azure. http://www.windowsazure.com/en-us/?fb=en-us You could try it for free and then pay as you use more.
So after all this, Oracle would not have stayed behind. This is what they offer:
http://www.oracle.com/us/solutions/cloud/overview/index.html
MapReduce: This was written by Google. The concept is that large data and its related activities are mapped to various nodes. Once all the nodes have finished executing the tasks, the results are reduced to deduce the desired output.
I could not understand the concept of GFS completely. Hence deferring my understanding on the same.
Google Cloud site: https://cloud.google.com/ You can use Google's cloud infrastructure to build applications, deploy them, store and analyze data.
Microsoft's Cloud site: By the way, it is called Azure. http://www.windowsazure.com/en-us/?fb=en-us You could try it for free and then pay as you use more.
So after all this, Oracle would not have stayed behind. This is what they offer:
http://www.oracle.com/us/solutions/cloud/overview/index.html
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