The promises of lower costs and more efficient use of technology through the adoption of public cloud are attractive but in many cases a simple shift to the cloud does not equate to cheaper deployments. Being able to understand cloud economics is an essential step for all organizations. All areas need to be carefully considered before investing fully in public cloud and to avoid costly cloud implementations.
In this podcast, Scott Taylor speaks to Abhas Ricky, Managing Director, Global Head – Strategy & Transformation at Cloudera. Abhas starts by talking about why people implement the cloud and how enterprises can have a better understanding of the costs involved. Secondly, he explains how organisations should define their total cost of ownership model. Also, Abhas explains how ephemeral workloads can be beneficial and the differences between analytical and operational workloads. Finally, he outlines where the complications and nuances come in around the cost of data and analytics.
Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies—including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role.
Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
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