The data and analytics landscape is evolving at an astonishing pace. The number of ‘big data’ technology alternatives is staggering. The momentum of open-source Hadoop is undeniable. The marketplace offers the promise of next generation analytic architectures to increase analytic agility, optimize TCO and drive greater business value.
Success requires your role evolve from conventional ‘data architect’ to ‘data ecosystem architect’. This workshop provides a structure to help you make the transition. We will explore practical steps for modernizing your analytic architecture by leveraging emerging technologies and employing data architecture patterns for acquisition, integration, and access. Best practices will be discussed for architecting the next generation analytic ecosystem by implementing data lakes and data products, as well as integrating heterogeneous data components, such as relational databases, NoSQL databases and open-source Hadoop. You will leave the session not only better educated on analytic architecture key themes and concepts, but armed with a practical approach for modernizing the analytic architecture in your own organization.