Processing Enterprise Big Data in the Cloud

Big data offers new ways of managing exploding amounts of data coming from an ever-growing number of sources – Internet, social media, devices, enterprise applications, partners, etc. The vision for the possibilities of big data is compelling, but how do you take the first step? How do you justify the benefits of investing in big data to the business?

Turns out that there is an easy way to test your design assumptions, perform system sizing, and evaluate potential benefits even before you commit to a project. Using cloud-based technologies from Informatica and Amazon, you can tap into enterprise data sources and instantly experiment with data processing and integration in Hadoop – no waiting required.

Adam Gray

Senior Product Manager – Amazon Web Services
Adam Gray heads product management for Amazon Web Services Big Data analytics services such as Elastic MapReduce and AWS Public Data Sets. Before joining Amazon Web Services Adam was a Technical Lead for CDM Technologies, since acquired by Boeing, where he helped integrate natural language processing technologies with logistics and planning systems built for the US Military. Adam holds a bachelor’s degree in computer engineering and a master’s degree in computer science from California Polytechnic University in San Luis Obispo. He also received an MBA from the University of Michigan.

Boris Bulanov

Senior Director of Solutions, B2B Data Exchange – Informatica
Boris Bulanov is a Senior Director of Solution, B2B Data Exchange for Informatica Corporation. In his current role Boris develops enterprise solutions with emerging technical strategies and products for standards based enterprise architectures. His area of interests includes Insurance, Financial, and Healthcare industries. Prior to Informatica, Boris worked in similar roles for Progress, IONA, and IBM.

Back to top >