Data Masking/Protection
Abstract: Getting the correct metadata in a simple way is an important part of building structured data processing, protection, presentation, and prototyping jobs in IRI software. Read More
Data Transformation
This article is the third of four articles discussing newly added support for Excel files in the core IRI program for structured data definition and manipulation, SortCL. Read More
Business Intelligence (BI)
This article is a continuation of the previous article, which introduced IRI support for XLS and XLSX file formats in the IRI SortCL 4GL and runtime program used for rapidly manipulating spreadsheet data in the IRI Voracity data management (ETL, data quality, etc.) Read More
Business Intelligence (BI)
In addition to all the other structured data sources that IRI software already supports, it is now possible to read, process and write data from and to XLS and XLSX files in the SortCL program central to:
IRI CoSort, for fast sorting, transformation, and reporting IRI NextForm, for mapping, migration, and replication IRI RowGen, for random selection or generation of realistic test data IRI FieldShield, for sensitive data masking IRI Voracity, for all the above, plus ETL, data cleansing, and wrangling for analyticsand to write the resulting data back to those or other targets, including one or more Excel sheets. Read More
Business Intelligence (BI)
The names of IRI software products and how they run have at times been a source of mystery, or even confusion, to the uninitiated. This article spells out the pieces and clarifies their interplay, providing a quick primer for prospective users, partners, and new industry analysts. Read More
Test Data
Automating where you can, when you can, is the basis of DevOps testing and test data automation. Allowing IRI job script executions which mask or synthesize test data to be handled in the CI/CD pipeline supports this pursuit. Read More
Data Masking/Protection
You might know the old saying, “What gets measured gets managed.” It rings true even in the IT sector. But there’s a catch—how can you manage and measure what you can’t see? Read More
Data Masking/Protection
IRI Workbench contains a section of field-level Data Generation Rules for use in IRI RowGen test data synthesis, FieldShield data masking, and other SortCL-compatible tasks or Voracity (ETL) work flows. Read More
IRI
Since the advent of automatic tuning in CoSort V10, it has been easier to work with the many available performance settings in CoSort Resource Control (which we call cosortrc or “RC”) files. Read More
Data Masking/Protection
Abstract: It is common practice to mask sensitive production data for non-production purposes. Creating realistic values presents the challenge of handling new values introduced into production data sources and the risk of re-identification. Read More
Data Masking/Protection
One of the data masking requirements for IRI FieldShield that we see in PHI anonymization use cases involves the blurring of dates at the row level, instead of the column level while providing a configurable option to retain the interval between those dates. Read More