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

Manav Gupta, Mandy Chessell, Gopal Indurkhya, Heather Kreger, Anshu Kak, and Christine Ouyang

Date archived: February 14, 2018 | 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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