Compuware Topaz® for Enterprise Data

Visualize and Manipulate Enterprise Data with Agility

Topaz^® for Enterprise Data is part of the Topaz suite of mainframe development and testing tools. It enables developers and data architects to discover, visualize and work with both mainframe and non-mainframe data in a common, intuitive manner.

Topaz for Enterprise Data enables developers to:

• Visually manage vast quantities of data objects using the Data Relationship Visualizer
• Visually understand and tune complex related data extracts to create optimal test data with the Extract Visualizer
• Edit multiple datatypes with a single Enterprise Data Editor
• Easily compare data
• Search for data values in one or more files
• Process related subsets of data with minimal database expertise
• Maintain relationally intact data based on referential integrity (RI) or application relationships (AR)
• Extract relevant data using easy-to-use selection criteria or key values
• Load data into new or existing objects and apply necessary data transformation rules
• Execute a list of specifications as a group
• Leverage Test Data Privacy to mask sensitive data to protect individuals’identities and business-confidential data

The Value of Topaz for Enterprise Data

• Enables developers, test engineers and analysts to be more self-sufficient by provisioning data, when needed, reducing their need to rely on subject matter experts
• Single data editor replaces multiple source-specific tools for browsing and editing data
• Helps next-gen mainframe developers as well as seasoned IT pros
• Increases application understanding through rich visualization of data relationships and data extracts
• Improves application quality with better testing scenarios, simplifying the task of creating complete data extracts for testing purposes and accurately identifying the impact of changing pieces of data
• Increases data extract tuning opportunities through deeper understanding of data
• Reduces project timelines by giving developers and testers more autonomy, yielding greater productivity
• Simplifies and accelerates the testing process by enabling developers to compare files located on different LPARs