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Product Overview

zDataConnect's architecture is designed for transparent data access across z/OS systems. The Intercept Module intercepts I/O requests, forwarding them to the Communication Manager, which uses TCP/IP to communicate with the target system. The Security Manager integrates with z/OS security systems like RACF, ACF2, and Top Secret, supporting authentication methods such as LDAP and Kerberos, and enforcing Role-Based Access Control (RBAC).

Configuration is managed through a CLI, allowing administrators to define dataset mappings, communication parameters, and security policies. zDataConnect logs system activity to SMF records for auditing and monitoring. Competing products may use different communication protocols or lack the same level of integration with z/OS security.

zDataConnect's key architectural components work together to provide seamless and secure data access without requiring application changes. The system's modular design allows for flexible deployment and scalability. For instance, the Communication Manager can be configured to use different TCP/IP stacks for optimal performance.

Frequently Asked Questions

What is the primary function of zDataConnect?

zDataConnect enables applications on one z/OS system to access sequential datasets residing on another z/OS system without requiring modifications to the application code. It intercepts I/O requests and redirects them to the target system.

What communication protocols does zDataConnect use?

zDataConnect uses standard z/OS communication protocols, such as TCP/IP, to establish connections between systems. It leverages existing network infrastructure for data transfer.

Do applications need to be modified to use zDataConnect?

No, zDataConnect is designed to be transparent to applications. It intercepts dataset access requests at the system level, eliminating the need for application code changes.

What types of datasets does zDataConnect support?

zDataConnect supports various sequential dataset organizations, including physical sequential (PS), partitioned datasets (PDS), and extended sequential datasets (ESDS).

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