It is 2015. The year when Millennials and Gen X-ers are greater in number than the Baby Boomers. The year when technology, social media, and the Internet of Things are changing faster than a baby is born. When ideas of innovation have to be in the future, the relational database no longer the only database of choice and the architecture truly distributed between prem and cloud, we need a vision of how the data warehouse can become again an old friend for reliable answers to our business questions. The vendors are many more and different, the designers require new skills and the expectations are let's say more predictive. Sandboxes, Virtual integration, Advanced Analytics, new languages and many platforms - only a handful of the components that require an architecture for the future to meet business requirements.

This session provides a framework for the architecture of the changed data warehouse, the components and related technology to process not only structured data. The attendees will get a good understanding of the following:

• Architecture components of an enhanced data warehouse
• Benefits and capabilities of the additional components
• Specific technologies and implementation alternatives
• Top 10 important concepts to consider about the new architecture

You need to augment your current data warehouse with big data technologies to position for future large amounts of data, in a variety of formats, coming into the organization to enable insights and better business decisions. We'll include specific use cases for the financial industry where big data augmentation to the current data warehouse produces business benefits, creates insights not possible before, and brings the technology more in line with trends in the industry.