data maker | Key Features

Test Data At The Press Of A Button


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Good quality test data is the key to the success of new and existing applications. Being able to create test data quickly for a range of test cases will save organizations time and money. Grid-Tools DataMaker is an easy to use tool that lets you edit and copy data between schemas as well as build related sets of table data which can then be published to development and test databases.

Product Features

Feature Description
Data Modeller Data Maker includes all the functions of Data Modeller.
Data Generator Easily create test data, based on relationships, lists of values and substitution variables of your production data. The "All Pairs" algorithm rapidly creates the largest possible combinations with minimum test cases. View screenshots: zoomzoom
Meta-Model Build up a picture of how tables link together with rapid discovery techniques such as database constraints, naming standards, scanning table joins and output from case tools. Extract and store production data characteristics, including lists of values, maximum s, minimums and data ranges.
Rapid Subsetting The same set of relationships used to define data can be used to extract subsets of data, using standard database functions. The Subset utility allows you to define new relationships or use existing database constraints. Selection criteria can be added at any level and can be changed at run time. You can preview data and validate relationships against the data, while you subset. View screenshots: zoom
Custom scripting Extract and load scripts can be run in batches using standard database utilities. Many DBAs have existing scripts for copying and cloning. By simply editing the XML templates, the Subset feature can produc e customised scripts to suit your requirements.
Anonymity and Security Data can be copied, anonymised and then released to other users for use as standard test data. This allows real life test cases to be used by developers and testers. In addition to standard anonymisation functions such as hashing, range and pick lists, you may also add your own data scrambling functions, and populate seed tables using your own data so that generated values are familiar to your users.
High Volume Testing Repeat data publishing many times over to create high volume sets of "business intact" data.
Manage your replay and capture scripts
You can store the control scripts and manage the data for your capture and replay tools. Tools such as Facila's Forecast studio and HP's load runner need active management of the data to run their scripts. Datamaker allows you manage this data and create matching database data as well as ensuring the scripts run against data that exists within your database.
Test Data Repository Store all your test cases in one place and create Standard Test Cases. Data can be inherited from these base cases, allowing the rapid creation of specific test cases, with any changes made applied to all inheriting test cases.
Invalid Data Creation For some test cases, invalid data needs to be created. These test sets can be added as required for testing of specific programs.
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