The right cloud for the job: Multicloud database processing is here
August 5, 2014
Grazed from InfoWorld. Author: David Linthicum.
The idea is pretty simple and actually pretty old: Use a distributed architecture on large databases to quickly return the data requested. This approach runs the database query across many servers at the same time, then combines the results as they return from hundreds, perhaps thousands of servers in the cluster.
This idea has gotten new attention because it is the core idea behind MapReduce, the parallel processing model used by Hadoop in big data analytics. These types of distributed workloads have been used for years, typically with a homogeneous server cluster, meaning it works across lots of the same servers. That homogeneity restricts you to one server cluster or one cloud — thus, one resource type and cost. But not any more…
In the emerging multicloud approach, the data-processing workloads run on the cloud services that best match the needs of the workload. That current push toward multicloud architectures provides the ability to place workloads on the public or private cloud services that best fit the needs of the workloads. This also provides the ability to run the workload on the cloud service that is most cost-efficient…
Read more from the source @ http://www.infoworld.com/d/cloud-computing/the-right-cloud-the-job-multicloud-database-processing-here-247610