Next Webinar on Sept. 22: How Nedbank Connected Their Mainframe to the Cloud with Model9 & Microsoft Azure
Model9 can handle the movement, transformation, and integration of almost any form of mainframe data with little or no impact on online or batch windows. Data set attributes are preserved as metadata in the cloud, so you can test your move or transformation as often as needed. And, it is so easy, even non-mainframe people can employ it without difficulty.
Model9 allows you to set policies to move some data sets or all data sets automatically, reducing oversight and management needs compared to alternative data movement methods.
Model9 can make use of COBOL copybooks to parse data set records into fields. These features are useful whether you are refactoring, rehosting, or rearchitecting.
