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Product Overview

DataVantage Global features a modular architecture comprising several key components: * **Data Access Layer (DAL):** Provides connectivity to various data sources, including IMS, DB2, VSAM, CA Datacom/DB, SQL Server, and Oracle Database. The DAL abstracts the underlying data source, allowing other components to interact with data without needing to know the specific details of the data source. * **Obfuscation Engine:** Applies data masking rules to sensitive data.

The engine supports various masking techniques, including substitution, shuffling, and encryption. Rules are defined in XML configuration files. * **User Interface (UI):** Provides a web-based interface for managing data sources, defining masking rules, and monitoring system activity.

The UI communicates with other components through REST APIs. * **Security Manager:** Handles authentication and authorization. 509 certificates for authentication and uses RBAC for access control.

Communication between components occurs primarily through REST APIs. The DAL exposes APIs for data access, the Obfuscation Engine exposes APIs for data masking, and the Security Manager exposes APIs for authentication and authorization. DataVantage Global uses AES-256 encryption to protect sensitive data at rest and in transit.

Frequently Asked Questions

What is DataVantage Global?

DataVantage Global is a Java-based tool designed for browsing, editing, and obfuscating test data derived from production environments. It supports a variety of mainframe and distributed data sources.

What data sources does DataVantage Global support?

DataVantage Global supports mainframe data sources such as IMS, DB2, VSAM, and CA Datacom/DB. It also supports distributed databases like SQL Server, DB2, and Oracle Database.

On what platforms can DataVantage Global be deployed?

DataVantage Global can be deployed on any platform that supports Java, providing flexibility in choosing the execution environment.

What are some common operations performed with DataVantage Global?

While specific commands may vary based on the data source, common operations include browsing data, editing records, applying obfuscation rules, and exporting data subsets for testing.

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