How IBM leads in building big data analytics solutions in the cloud
Implementing the CSCC Customer Cloud Architecture for Big Data and Analytics
From the developerWorks archives
Date archived: May 14, 2019 | First published: February 19, 2016
Creating solutions and architectures that harness the value and power of big data and cloud can give your company a competitive advantage, spark new innovations, and increase revenues. The Cloud Standards Customer Council's Customer Cloud Architecture for Big Data and Analytics describes a well-tested and popular reference architecture for traditional analytics production environments. In this article, see how IBM supports this architecture in a secure, scalable, and flexible manner in dedicated and on-premises public could, hybrid cloud, and private cloud environments.
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