Many so-called big data — really, Hadoop — projects have patterns. Many are merely enterprise integration patterns that have been refactored and rebranded. Of those, the most common is the mainframe pattern.
Because most organizations run the mainframe and its software as a giant single point of failure, the mainframe team hates everyone. Its members hate change, and they don’t want to give you access to anything. However, there is a lot of data on that mainframe and, if it can be done gently, the mainframe team is interested in people learning to use the system rather than start from the beginning. After all, the company has only begun to scratch the surface of what the mainframe and the existing system have available.