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Product Overview

zDMF is a data management solution designed for z/OS mainframe environments. Its primary function is to facilitate the migration of datasets between different storage subsystems without disrupting access. This non-disruptive migration capability is achieved through dataset-level operations, providing granular control over the data movement process.

The architecture of zDMF involves several key components that interact to manage the migration process. These components include the control datasets, migration engine, and interface to the z/OS security subsystem. zDMF integrates with z/OS security systems, such as RACF, to control access to datasets and migration jobs.

The migration process is defined through configuration files that specify the source and target storage subsystems, the datasets to be migrated, and various migration options. zDMF supports various migration techniques, including concurrent copy and shadow copy, to minimize downtime. The choice of migration technique depends on the specific requirements of the migration job and the characteristics of the storage subsystems involved.

zDMF provides monitoring and logging capabilities to track the progress of migration jobs and ensure data integrity. Understanding the architecture and integration points of zDMF is crucial for successful deployment and operation.

Frequently Asked Questions

What does zDMF do?

zDMF is a data management tool for z/OS mainframe environments that facilitates the movement of datasets between different storage subsystems. It allows organizations to migrate data without disrupting access to the data, ensuring business continuity.

Is this a system, application, or tool?

zDMF is a tool set designed to address data migration challenges within the z/OS environment. It provides the functionality needed to move datasets between storage subsystems efficiently and non-disruptively.

What types of organizations use this?

Organizations that rely on z/OS mainframes and need to perform data migrations or upgrades without downtime are ideal candidates for zDMF. This includes enterprises in industries such as banking, finance, insurance, and government.

When should we consider zDMF?

A company should consider using zDMF when planning a storage subsystem upgrade, consolidating data centers, or needing to balance workloads across different storage tiers. It is particularly useful when minimizing downtime during these activities is critical.

What are the alternatives to zDMF?

Alternatives to zDMF include TDMF (also from IBM), which operates at the volume level, and other data replication or migration tools. The key difference is that zDMF operates at the dataset level, providing more granular control.

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