Abstract: Now that XLS and XLSX files are now also directly supported in IRI FieldShield by virtue of their new /PROCESS (format) support in the CoSort 10.5 SortCL program, IRI Voracity data management platform and standalone data masking users have three different ways to “shield” sensitive data in their spreadsheets. Read More
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
This article is a continuation of the previous article, which introduced IRI support for XLS and XLSX file formats in the SortCL program used for moving and manipulating spreadsheet data in both the IRI Voracity data management (ETL, data quality, etc.) Read More
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
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
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
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
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
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
This article explains how to connect with, and use data from, SharePoint sites — using the file system via OneDrive — for operations in IRI Workbench-supported data management software. Read More
Abstract: IRI has partnered with Windocks to provide an on-demand, test-ready virtualized repository that delivers masked, subsetted or synthesized databases in seconds for Docker containers, conventional instances, or workstations. Read More