Soam Acharya presents a case study of a business which relied heavily on AWS and had to reduce its dependencies on it, including tips for avoiding cloud lock-in.
Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.
Bhaven Avalani and Yuri Finklestein discuss 4 aspects encountered at eBay when dealing with monitoring data: reduction of data entropy, robust data distribution, metric extraction, efficient storage.
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
Chris Pinkham explains how to create an automated scalable self-service infrastructure based on principles used by Amazon to build their cloud services.
Serkan Piantino discusses news feeds at Facebook: the basics, infrastructure used, how feed data is stored, and Centrifuge – a storage solution.
Ari Zilka informs on the cloud tools and process changes needed to take place for the financial and banking institutions to become interested in the technologies cloud computing has to offer.
Alex Gosse presents the current trend in application delivery, referring to cloud computing, its adoption and DevOps tools used in such environments.
Jeremy Jarvis shares his experience building a IaaS cloud and some of the lessons learned along the way.
Paul Weiss introduces cloud computing and its various models, comparing them with virtualization, then overviews Eucalyptus and compares it with AWS.
Andy Britcliffe shares some lessons learned building software for the cloud, along with advice on architecture, technologies and the need for vendor support.
Bruce Durling discusses the impact of cloud computing on the climate and what can be done to reduce the amount of CO2 generated by data centers in order to process big data.