Next Webinar on Sept. 22: How Nedbank Connected Their Mainframe to the Cloud with Model9 & Microsoft Azure

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Topic: Mainframe infrastructure

Learn how the leading information, analytics, and exhibitions company modernizes its mainframe environment and transitions to a cloud data management solution.

Learn why a data-first approach allows enterprises to migrate mainframe data directly to AWS—without making any changes to your mainframe applications. 

Move, transform and integrate mainframe data easily & cost-effectively to the cloud.

This guide compares object storage terminology with familiar mainframe concepts. Get started!

Driven by a decision to reduce IBM Mainframe data center expenses, and address the growing mainframe skills
shortage, the company set out to modernize its secondary storage capabilities. They chose the Model9 cloud
data management solution as a front-end for the Amazon S3 cloud storage service.

The Model9 software solution modernized and unified the credit union’s data management operations, allowed removal of IBM backup and tape-management software DFSMShsm and DFSMSrmm (also known as HSM and RMM), and reduced monthly workload license charges.

When designing a data management solution, it is important to explore cost-effective backup
options that allow efficient recovery to cope with the enormous amounts of generated data.
At the same time, it is also important to look into how to improve recovery efficiency even if it
might increase the direct backup costs.

Whatever the end goal, moving mainframe data management to the cloud should be the first step in any effort to modernize the mainframe.

Model9 Cloud Data Manager for Mainframe offers a software solution that represents a safe, low-risk path forward. It is built on proven, patented technology that delivers mainframe data to any cloud or on-premises storage platform. This enables strategic organizational initiatives while providing immediate value: opening a path to cloud migration, liberating data for access by cloud applications, including analytics, and eliminating costly tape systems and their well-known bottlenecks.

As data continues to grow exponentially, the question remains as to where is the best place to store all of this data. Model9 believes that for the mainframe, that place is the cloud.

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