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Datamaker for Mainframe

Grid-Tools Active z/OS zVSE/VSEn
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Product Overview

Datamaker for Mainframe is an architecture component designed to facilitate test data management within mainframe environments. It provides a centralized solution for creating, masking, and subsetting data from various sources, including DB2, IMS, ADABAS, and VSAM. The architecture typically involves a central server component that manages data connections, masking rules, and subsetting criteria.

This server interacts with mainframe data sources to extract, transform, and load data into test environments. Key components include the Data Connection Manager, which handles connections to different data sources; the Masking Engine, which applies masking rules to sensitive data; and the Subset Engine, which creates smaller, representative subsets of data. These components communicate through internal APIs and message queues.

Datamaker for Mainframe integrates with mainframe security systems such as RACF, ACF2, and Top Secret for authentication and authorization. It also exposes APIs for integrating with other mainframe tools and systems, such as test automation frameworks and data integration platforms. The system typically runs within an LPAR on z/OS or zVSE/VSEn.

Frequently Asked Questions

What does Datamaker for Mainframe do?

Datamaker for Mainframe is a tool designed to create and manage test data for mainframe applications. It supports various data sources, including DB2, IMS, ADABAS, and VSAM, enabling organizations to generate realistic and consistent test data.

Is this a system, application, or tool?

Datamaker for Mainframe is a tool set. It provides a range of functions for data creation, masking, and subsetting, all focused on the needs of mainframe test environments.

What types of organizations use this?

Organizations that rely on mainframe systems for critical business functions and require robust testing practices benefit most from Datamaker for Mainframe. This includes companies in industries such as banking, insurance, and government.

When should we consider Datamaker for Mainframe?

A company should consider using Datamaker for Mainframe when they need to improve the quality and efficiency of their mainframe application testing. This is especially relevant when dealing with sensitive data that requires masking or when needing to create consistent test data sets.

What are the alternatives to Datamaker for Mainframe?

Alternatives to Datamaker for Mainframe include Infosphere Optim Test Data Management Solution, and other data masking and subsetting tools. The key difference often lies in the level of mainframe-specific support and integration.

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