What are the most common operations performed with DataVantage for IMS?

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.

What configuration files or interfaces are used with DataVantage for IMS?

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.

What types of APIs does DataVantage for IMS expose?

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.

What are the main system components of DataVantage for IMS?

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.

How does DataVantage for IMS help with data privacy and compliance?

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.

How does DataVantage for IMS improve efficiency in test data management?

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.

How does DataVantage for IMS improve the quality of application 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.

What authentication methods are supported by DataVantage for IMS?

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

What access control model is used by DataVantage for IMS?

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.

What encryption is used and where in DataVantage for IMS?

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

What audit/logging capabilities exist in DataVantage for IMS?

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.

What administrative interfaces are available for DataVantage for IMS?

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

What are the main configuration parameters for DataVantage for IMS?

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

What monitoring/logging capabilities exist in DataVantage for IMS?

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

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DataVantage for IMS

Name: DataVantage for IMS
Availability: InStock

Direct Computer Resources Active z/OS

IMS Testing Databases Data Management Application Development

Vendor

Direct Computer Resources

Product Overview

DataVantage for IMS is designed to create and manage test IMS databases. The architecture includes several key components: a data extraction module, responsible for extracting data from production IMS databases; a masking engine, which applies configurable masking routines to sensitive data; and a database creation utility, which generates the test IMS database. These components communicate through z/OS system services and data sets.

Configuration is managed through JCL and control cards, defining data extraction criteria, masking rules, and database creation options. DataVantage leverages z/OS security mechanisms, such as RACF, for authentication and access control. Data extraction is performed by specifying the source IMS database and extraction criteria in JCL.

The masking engine supports various algorithms, including AES and DES, for encrypting sensitive data. The database creation utility generates the test IMS database based on the extracted and masked data. DataVantage competes with BMC AMI Test Data Management and IBM Db2 Cloning Tool.

Unlike some competitors, DataVantage offers a specialized focus on IMS environments.

Frequently Asked Questions

What is DataVantage for IMS?

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.

On what platforms does DataVantage for IMS operate?

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.

What are the main competing products to DataVantage for IMS?

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.

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DataVantage for IMS

Product Overview

Frequently Asked Questions

What is DataVantage for IMS?

On what platforms does DataVantage for IMS operate?

What are the main competing products to DataVantage for IMS?

What are the most common operations performed with DataVantage for IMS?

What configuration files or interfaces are used with DataVantage for IMS?

What types of APIs does DataVantage for IMS expose?

What are the main system components of DataVantage for IMS?

How does DataVantage for IMS help with data privacy and compliance?

How does DataVantage for IMS improve efficiency in test data management?

How does DataVantage for IMS improve the quality of application testing?

What authentication methods are supported by DataVantage for IMS?

What access control model is used by DataVantage for IMS?

What encryption is used and where in DataVantage for IMS?

What audit/logging capabilities exist in DataVantage for IMS?

What administrative interfaces are available for DataVantage for IMS?

What are the main configuration parameters for DataVantage for IMS?

What monitoring/logging capabilities exist in DataVantage for IMS?

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