DataVantage for IMS Modernization Guide

DataVantage for IMS is a tool designed to facilitate the creation and management of test IMS databases. It allows users to extract data from production environments, mask sensitive information, and create realistic test datasets.

DataVantage for IMS primarily operates within the z/OS environment, leveraging its capabilities for data management and security. It integrates with IMS databases and related z/OS components.

DataVantage for IMS competes with other IMS database management and testing tools. Key competitors include BMC AMI Test Data Management and IBM Db2 Cloning Tool. DataVantage distinguishes itself through its long history and focus on IMS-specific environments.

Common operations include data extraction from production IMS databases, data masking using predefined or custom routines, and test database creation. Specific commands are executed through JCL and control cards.

DataVantage for IMS uses configuration files, typically JCL and control cards, to define data extraction, masking, and database creation parameters. These files specify the IMS database characteristics and processing rules.

DataVantage for IMS primarily uses batch processing via JCL. It does not expose REST or SOAP APIs. Integration is achieved through direct calls within z/OS environments.

The main system components include the data extraction module, the masking engine, and the database creation utility. These components communicate through z/OS system services and data sets.

DataVantage for IMS reduces the risk of exposing sensitive production data in test environments. By masking sensitive information, it helps organizations comply with data privacy regulations.

By automating the creation of test IMS databases, DataVantage for IMS reduces the time and effort required for test data management. This allows developers and testers to focus on application development and testing.

DataVantage for IMS enables the creation of realistic test environments that mirror production data characteristics. This improves the quality and reliability of application testing.

DataVantage for IMS supports authentication through z/OS security mechanisms, such as RACF. Access control is managed through RACF profiles and permissions.

DataVantage for IMS uses an access control model based on RACF, which provides role-based access control (RBAC). Users are assigned roles that determine their access permissions.

DataVantage for IMS encrypts sensitive data during the masking process. Encryption algorithms are configurable and can include AES and DES.

DataVantage for IMS provides audit logging capabilities that track data access, masking operations, and administrative changes. These logs can be used for security monitoring and compliance reporting.

DataVantage for IMS provides a command-line interface (CLI) for administrative tasks. User management is handled through z/OS security tools like RACF.

Key configuration parameters include data source definitions, masking rules, and database creation options. These parameters are specified in JCL and control cards.

DataVantage for IMS provides monitoring and logging capabilities through z/OS system logs and SMF records. These logs track system activity and potential issues.