Interact with Mainframe and Non-mainframe Data in a Common, Intuitive Manner

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Stephany Harris
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Interact with Mainframe and Non-mainframe Data in a Common, Intuitive Manner Topaz for Enterprise Data, part of the Topaz suite of mainframe development and testing tools, enables developers and data

1 Interact with Mainframe and Non-mainframe Data in a Common, Intuitive Manner Topaz for Enterprise Data, part of the Topaz suite of mainframe development and testing tools, enables developers and data architects to discover, visualize and work with both mainframe and non-mainframe data in a common, intuitive manner. EXTRACT AND LOAD RELATED DATA Topaz for Enterprise Data simplifies the complex task of managing data and preparing data for testing. This enables developers and test engineers to perform data-related tasks without writing programs or scripts, coding SQL or using multiple utilities. They can easily create specifications to extract related sets of data from one environment and load them into another. Extracting just the relevant data needed for testing is done using easy-to-use selection criteria or starting key values. The extracted data will remain relationally intact based on the referential integrity (RI) or application relationships (AR). Data can then be loaded into the environment of choice by applying the necessary data transformation rules. Easily define an extract by choosing a driving table as the starting point, then select Use referential integrity and/or Use application relationships to discover the complete set of related tables.

The DDL tab displays the DDL used to create any non-existent target tables and associated constraints; if changes are needed the DDL can

2 Use Field Mapping to associate columns of the source table with columns of the target table. Optionally, apply expressions if the source value needs to be adjusted before being written to the target table. The DDL tab displays the DDL used to create any non-existent target tables and associated constraints; if changes are needed the DDL can be edited. EDIT DATA WITH A SINGLE ENTERPRISE EDITOR The Enterprise Data Editor provides a single intuitive user interface to manage Oracle, SQL Server, IMS, Db2 and other data types across the enterprise. 2

3 Use the Data Editor to edit and browse Db2, IMS, SQL Server, Oracle and VSAM files with one tool. COMPARE DATA Topaz for Enterprise Data s Compare feature enables developers to easily identify differences between files, including files located on different LPARS. Compare allows you to identify differences between files, even those that reside on different LPARs. 3

VISUALIZE DATA RELATIONSHIPS Developers, data architects, analysts and other IT professionals can visually manage vast quantities of data objects using the Relationship Visualizer, a graphical

4 VISUALIZE DATA RELATIONSHIPS Developers, data architects, analysts and other IT professionals can visually manage vast quantities of data objects using the Relationship Visualizer, a graphical representation of data relationships across the enterprise. The Data Relationship Visualizer provides a graphical representation of data relationships across the enterprise. VISUALIZE DATA RELATED EXTRACTS The Extract Visualizer, another powerful capability within Topaz for Enterprise Data, makes it easy to visually understand complex related data extracts and gather critical information for how to best tune those extracts to create optimal test data. Use Extract Visualizer to gather critical insights needed to create optimal test data, including CPU usage information, Db2 access path information and actual SQL statements. 4

5 EXECUTION SUITES Execution Suites make it easy to manage a group of specifications and execute them in the order specified. When the EMP_Refesh Execution Suite is run, the EMP extract will be run first, followed by the EMP load. PROTECT SENSITIVE DATA Data privacy regulations and corresponding litigation are an increasing concern across industries. To improve compliance with the General Data Protection Regulation (GDPR), HIPAA and other stringent data privacy policies, IT staffs are looking for ways to protect sensitive data from unauthorized viewing, especially during application testing, when such data can be vulnerable to fraud or theft. Topaz for Enterprise Data provides Test Data Privacy, a unique solution to help companies address data privacy requirements in their test environments. Privacy administrators can: Manage dynamic data privacy rules Leverage powerful masking techniques (including format-preserving encryption and translation as well as overloaded and composite processing) Include business rules in rule logic to ensure masked data satisfies application requirements Share masking rules across data types and platforms Maintain relationship integrity during masking Ensure consistent results for all data sources Preview data identification and rule coverage Demonstrate compliance 5

The Coverage display within Data Privacy makes it easy to preview data identification and verify that the correct disguise rules will be applied when the file is disguised.

6 The Coverage display within Data Privacy makes it easy to preview data identification and verify that the correct disguise rules will be applied when the file is disguised. THE VALUE OF TOPAZ Provides a single intuitive interface for browsing and editing mainframe and non-mainframe data. Increases application understanding through rich visualization of data relationships and data extracts. Improves application quality with better testing scenarios, simplifying the task of creating data extracts for testing purposes and accurately identifying the impact of changing pieces of data. Increases data extract tuning opportunities through deeper understanding of the data. Simplifies data movement within distributed databases, including between different DBMS types. Quickly creates realistic test data by extracting data from one environment and loading it into another. Reduces project timelines by giving developers and testers more autonomy, yielding greater productivity. Eases compliance with GDPR Right to Be Forgotten mandates by providing a view of data relationships that make it easy for IT staff to identify and select instances of an individual s personal data. Personal data can then be deleted, and the deletion can be validated by browsing or extracting from the data source. Simplifies and accelerates the testing process by enabling users to compare files located on different LPARs. Learn more at compuware.com/topaz-for-enterprise-data. For more information on the Topaz suite, visit compuware.com/topaz. The Mainframe Software Partner For The Next 50 Years Compuware empowers the world s largest companies to excel in the digital economy by fully leveraging their high-value mainframe investments. We do this by delivering highly innovative solutions that uniquely enable IT professionals with mainstream skills to manage mainframe applications, data and platform operations. Learn more at compuware.com Compuware Corporation. Compuware products and services listed within are trademarks or registered trademarks of Compuware Corporation _Topaz_for_Enterprise_Data_fs

Brochure. Data Masking. Cost-Effectively Protect Data Privacy in Production and Nonproduction Systems

Brochure. Data Masking. Cost-Effectively Protect Data Privacy in Production and Nonproduction Systems Brochure Data Masking Cost-Effectively Protect Data Privacy in Production and Nonproduction Systems How Can Your IT Organization Protect Data Privacy? The High Cost of Data Breaches It s estimated that