Jan 01, 2014
This paper looks at how Big Data can be used to improve customer insight as well as operational effectiveness. It looks at the data and analytical requirements needed and at problems with traditional analytical environments in dealing with them. It then defines new requirements to accommodate Big Data analytical workloads and shows how your analytical Infrastructure needs to change to accommodate these extraordinary requirements and deal with the diversity of today's data as well as the new forms that have yet to be created.
Finally, it looks at how this can be done in an IBM System z environment where the vast majority of transactional data is often created and housed.