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Product Overview

EPV zParser's architecture revolves around a central Perl script that orchestrates the processing of SMF records, IMS log records, and IDCAMS DCOLLECT data. This script relies heavily on configuration files, which dictate data mappings, transformation rules, and database connection parameters. The Perl script utilizes the DBI module to establish connections with SQL databases such as DB2, Oracle, and others.

Data is extracted, transformed, and loaded into the database according to the rules defined in the configuration files. The system does not expose a formal API; integration is achieved by directly accessing the database or invoking the Perl script. Key components include: 1.

**Perl Processing Engine:** The core script responsible for data parsing and transformation. 2. **Configuration Files:** Define data mappings, transformation rules, and database connection details.

3. **SQL Database:** Stores the processed data for reporting and analysis. Communication between components is primarily through Perl's DBI module for database interactions and file system access for configuration files.

zParser leverages the security features of the underlying operating system and database.

Frequently Asked Questions

What types of data sources does zParser support?

zParser processes SMF records, IMS log records, and IDCAMS DCOLLECT data. It stores the processed data in SQL databases for reporting and analysis.

On what platforms can zParser run?

zParser is written in Perl and can run on any platform that supports Perl, including z/OS UNIX, UNIX, and Microsoft Windows.

How does zParser define data mappings and processing rules?

zParser uses configuration files to define data mappings and processing rules. These files specify how SMF records and other data sources are transformed and loaded into the SQL database.

What databases does zParser support?

zParser supports storing processed data in various SQL databases, including DB2, Oracle, and others accessible via Perl's DBI module.

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