CLOUD CUSTOMER ARCHITECTURE FOR BIG DATA AND ANALYTICS V2.0
The Cloud Standards Customer Council™ has published a new white paper.
Big data analytics (BDA) and cloud computing are a top priority for CIOs. Harnessing the value and power of big data and cloud computing can give your company a competitive advantage, spark new innovations, and increase revenue.
As cloud computing and big data technologies converge, they offer a cost-effective delivery model for cloud-based analytics. 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.
Cloud Customer Architecture for Big Data and Analytics Version 2.0 describes the architectural elements and cloud components needed to build out big data and analytics solutions.
Version 2.0 of the whitepaper includes:
- Business reasons to adopt cloud computing for big data and analytics capabilities
- Proven architecture patterns that have been deployed in successful enterprise projects
- An architectural overview of a big data analytics solution in a cloud environment with a description of the capabilities offered by cloud providers
Also read the companion guide, Hybrid Cloud Considerations for Big Data and Analytics.