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The V2R architecture is designed to provide a robust and scalable solution for migrating VSAM datasets to relational databases. The core components include the VSAM Data Extractor, which reads data from the VSAM datasets, supporting various record formats and data structures. The Data Transformation Engine is responsible for converting the VSAM data into a relational format, including data type mapping, field reformatting, and handling complex data structures.
This engine allows for customization through transformation rules. The Relational Database Loader loads the transformed data into the target database, supporting databases such as Db2, Oracle, and SQL Server. The Application Interface Module ensures that applications can access the migrated data without requiring significant code changes.
Communication between components is facilitated through internal APIs and data exchange formats. The VSAM Data Extractor communicates with the z/OS system to access the VSAM datasets. The Data Transformation Engine processes the extracted data and applies the transformation rules.
The Relational Database Loader then interacts with the target database to load the transformed data. The Application Interface Module provides a layer of abstraction to ensure application compatibility. The system utilizes standard network protocols for communication, with secure connections using TLS/SSL.
The tool supports various data storage mechanisms within the target relational databases. The administrative interfaces (CLI and GUI) allow for configuration of parameters such as database connection details, VSAM dataset specifications, and transformation rules. Monitoring and logging capabilities provide real-time insights into the migration process, including progress, errors, and performance metrics.
The CLI provides commands for scripting and automation, while the GUI offers a user-friendly interface for managing migration jobs and configurations. The system's design emphasizes data integrity, security, and performance, ensuring a reliable and efficient migration process.
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