Cloud Customer Architecture for Big Data
and Analytics V2.0
Executive Overview
Big data analytics (BDA) and cloud are a top priority for most CIOs. Harnessing the value and power of
data and cloud can give your company a competitive advantage, spark new innovations, and increase
revenues. As cloud computing and big
data technologies converge, they offer a cost-effective delivery
model for cloud-based analytics.
As a delivery model, cloud computing has the potential to make your business more agile and
productive, enabling greater efficiencies and reducing costs. Many companies are experimenting and
iterating with different cloud configurations as a way to understand and refine requirements for their
big data analytics solutions without upfront capital investment.
Both technologies continue to evolve. Organizations know how to store big data—they now need to
know how to derive meaningful analytics from the data to respond to real business needs. As cloud
computing matures, more enterprises are building efficient and agile cloud environments, and cloud
providers continue to expand service offerings.
This paper describes a well-tested reference architecture for Big Data and Analytics in a
hybrid cloud
environment. In addition, you will:
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Discover business reasons for organizations to adopt cloud for their analytics needs.
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Receive an architectural overview of an analytics solution in a
cloud environment with a
description of the capabilities offered by cloud providers.
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Learn about the architectural components of the solution.
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Review example architectural scenarios that might be similar to your operating environment.
Business drivers
There are many reasons businesses should adopt big data and analytics capabilities in their organization
and use cloud computing to enable those capabilities. Specific business drivers include:
•