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.
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.
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.
This article is part of a series explaining how to use DarkShield and its many functions.
The IRI DarkShield data masking product uses fit-for-purpose facilities in the IRI Workbench IDE to search (classify) and mask (remediate) sensitive ”dark data” (as defined by Gartner) in many semi and unstructured data sources — including JSON, XML,free-form text files, PDFs, MS Office documents, and images.
Like previous articles in this blog on the connection and configuration of other relational databases with the IRI Voracity data management platform — and its ecosystem products: CoSort, NextForm, FieldShield, DarkShield and RowGen — this article details how to reach DB2 sources.
Incremental data replication, masking, integration (ETL), and other data refresh operations are common in frequently updating database environments. These jobs require the detection of additions and updates to tables.
Abstract: In previous articles in the business intelligence (BI) section of this blog, IRI has described how wrangling data with the SortCL engine in the IRI CoSort data manipulation product and Voracity data management platform speeds time to data visualization, and thus actionable insight, in BI tools.