Data Transformation
IRI’s data management tools share a familiar and self-documenting metadata language called SortCL. All these tools — including CoSort, FieldShield, NextForm, and RowGen — require data definition file (DDF) layouts with /FIELD specifications for each data source so the data is mapped to the metadata. Read More
Data Masking/Protection
Like other articles in this blog on the connection and configuration of 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 Vertica sources. Read More
Data Migration
IRI Workbench includes a Data Vault Generator wizard to assist users of the IRI Voracity platform in migrating a relational database model to a Data Vault (DV) architecture. Read More
IRI Workbench
As of CoSort Version 10.5, the IRI Workbench IDE includes a Data Vault Generator wizard to help IRI Voracity platform users migrate a relational database model to a Data Vault 2.0 (DV) architecture. 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
Data Masking/Protection
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. Read More
Data Quality (DQ)
IRI Workbench now contains a section of data cleansing, enrichment, and validation rules called Data Quality Rules for use in IRI CoSort data transformation and IRI Voracity ETL, reporting and data wrangling jobs. Read More
Data Masking/Protection
IRI Workbench users can connect to and manipulate the data in the underlying database in Salesforce using the JDBC and ODBC drivers from CData or Progress Software. Read More
Data Masking/Protection
The Data Class File Masking Job wizard in IRI Workbench protects large numbers of structured file sources that have been previously classified. While it was possible to use the data classes in many of the existing wizards, if the data class library included a lot of classified fields, selection of the classified sources was cumbersome. Read More
Data Masking/Protection
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code. Read More