Topaz for Enterprise Data

Data Visibility and Understanding


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

The Value of Topaz for Enterprise 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 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 the 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
  • Offers data for analytics projects
  • Single data editor replaces multiple source-specific tools for browsing and editing data
  • Helps next-gen mainframe developers as well as seasoned IT pros

Related Solutions

Artificial Intelligence with zAdviser

Key Features of Topaz for Enterprise Data

Single Data Editor

Topaz for Enterprise Data enables you to edit and browse DB2, IMS, SQL Server, Oracle and VSAM files with one tool.

Understand Complex Data and Relationships

Users can view complex relationships and filter on just the objects that are important to them.

Visualize Related Data Extracts

Topaz for Enterprise Data allows the user to understand and tune related data extracts. Hot Spot filtering identifies potential problem areas in the extract and allows the user to tune the problem areas.

Cross-LPAR Compare

Enables developers to compare files that exist on different LPARs, greatly expanding their ability to quickly and frequently assess the impact of their changes.

Enterprises can gain tremendous business value from mainframe-resident data, but making use of this key asset is often limited by the need to understand the mysteries of applications developed in CICS and COBOL. Compuware is taking aim at this limitation by more broadly empowering IT professionals to understand and leverage data residing on IBM System z using graphical visualization tools.

Tim Grieser, Program Vice President for Enterprise System Management Software, IDC