Right on the schedule, before the end of the year we are officially announcing availability of BizDataX Version 2.1. We are sure that our clients and supporters will be really happy about that, because, albeit this version is not a major upgrade, it does consist of very important features and enhancements to enable more control, transparency and integration options. Here is what’s new:
BizDataX Runtime creates a report as soon as BizDataX data masking job is completed. Reports show statistics of original and masked data, e.g. you get the insight of distribution of number of replacement names by country and gender, or information about INSERT and UPDATE operations performed by vendor, database and table. Reporting is fully customizable so you can use custom tags during the implementation of BizDataX package to count specific dimensions, or customize report templates. Reports are accessed using Management Console.
Integration with test automation tools
We’ve improved BizDataX engine and APIs to support advanced integration with other testing tools. BizDataX has now built-in enterprise scale infrastructure based on web services that enables seamless integration with a variety of tools on the market. On top of that infrastructure, we have implemented two new Connectors: BizDataX Connector for Tosca, the tool that enables integration with Tricentis Tosca Commander, and BizDataX Connector for TestBench, the tool that integrates with imbus TestBench. We will very soon announce availability for several other test automation tools.
Invoking BizDataX Runtime from within command prompt
Additional options made available when BizDataX Runtime is being used by other tools: improvements to command line utilities introduced, web services and REST APIs.
Maintaining RI in XML / semi-structured files
New features were introduced to extend support needed to preserve Referential Integrity (RI). Queue iterators make it easier to setup rules to preserve RI when generating synthetic data. When masking or generating synthetic data, the engine can target data stored in XML files or other non-structured or semi-structured format, in sync with the rest stored in relational databases.
Numerous improvements in data transformation algorithms
A number of improvements have been made in algorithms to speed up data transformation and formatting, especially for large data sets.
If you need additional information about this upgrade please send us an email on firstname.lastname@example.org
We wish you a Merry Christmas and a Happy New Year!