Be the first to like this
Cloud computing is creating a new era for IT by providing a set of services that appear to have infinite capacity, immediate deployment and high availability at trivial cost. These are all appealing to someone running a data warehouse when data volume, use and cost are growing at a rapid rate.
Today most organizations look at cloud as a way to lower data center and IT costs. While cost reduction is a real benefit, there is more value in the increased scalability, speed to procure (and give up) resources, and ease of delivery in cloud environments.
Database workloads are particularly challenging in the cloud. Cloud deployments beyond a moderate scale favor shared-nothing database architectures designed to run transparently in a multi-node environment. We are still in an early period of standardization and design of software to run in the cloud. Not all workloads are suitable for deployment on a collection of small virtualized servers today. Business intelligence and analytic database workloads fall into this area, raising the importance of analysis for fit with public and private cloud options.