Data Masking/Protection
There are times when it is necessary to test with or share data that has elements of personally identifiable information (PII). To comply with data privacy laws and prevent a data breach, you may need to provide data that reflects, and sometimes imparts, critical information, but still protects the PII.
Read More
IRI Workbench
IRI Workbench not only has several ways to create jobs, but also several ways to execute them.
This article focuses on IRI Workbench execution options for scripts based on the SortCL program language, which covers IRI CoSort (transform/report), NextForm (migrate/replicate), FieldShield (classify/mask), and RowGen (test data) jobs.
Read More
ETL
Just as production data processing tools like IRI CoSort must handle big data in NoSQL DB environments, so too must a big test data generation tool like IRI RowGen.
Read More
Test Data
Unlike the New DB Test Data Job wizard for creating multiple, related test tables, the New Test Data Job wizard in the IRI Workbench GUI for RowGen generates individual test sets.
Read More
Big Data
Note: This example demonstrates a more direct method of using IRI FieldShield or IRI Voracity to statically mask data found within MongoDB tables. Our older how-to-article on indirect data masking of MongoDB through export/mask/import is here, and a newer method through MongoDB’s native driver supported as of CoSort v10 in 2018 is here.
Read More
Test Data
This article explains how to use IRI RowGen to create test files for prototyping COBOL applications running on, or off, the mainframe.
RowGen generates synthetic test data for file, database, and custom report targets.
Read More
Test Data
One of the ways IRI RowGen builds realistic test data is through the formation and population of custom field values, such as phone numbers. In this article, we explain how to use the Compound Data Value (CDV) wizard in the RowGen GUI to build a set file containing real-looking, US phone numbers based on the North American Numbering Plan (NANP).
Read More
Big Data
Introduction: This example demonstrates an older method of using IRI RowGen to generate and populate large or complex collection prototypes for testing or system capacity. As you will read, RowGen would create the necessary test data and create a CSV file that would be loaded into MongoDB using the Mongo Import Utility.
Read More
Data Masking/Protection
Update: Q2’16: In addition to the database profiling wizard in the data discovery menu group in IRI Workbench described below, IRI has introduced robust data classification that enables the application of field rules for multi-source data transformation and protection through data class libraries.
Read More
ETL
This article is third in a 3-part series on using IRI products to expand functionality and improve performance in Pentaho systems. We first demonstrate how to improve sorting performance, and then introduce ways to mask production data, and create test data, in the Pentaho Data Integration (PDI) environment.
Read More