IRI is now also delivering fuzzy search functions, both in its free database and flat-file profiling tools, and as available field-function libraries in IRI CoSort, FieldShield, and Voracity to augment data quality, security, and MDM capabilities. Read More
The Entity-Relationship Diagram (ERD), or entity relationship model, is a visual depiction of database tables (entities) and how they are linked through primary and foreign keys (relationships) to each other. Read More
Note: This article showcases the migration of a relational database (RDB) model to star schema using the Eclipse IDE for the IRI Voracity data management platform (and its included products) called IRI Workbench, following an introduction to both types of schema. Read More
IRI RowGen users can generate structurally and referentially correct synthetic test data for an entire database in a single operation. The test data reflects production characteristics (such as values ranges and frequencies) normally encountered in database or ETL operations, but does not require access to, or the masking of, real data. Read More
This article looks at sets from an informational processing perspective; what they are; how they are constructed; and, distinct ways in which data can be drawn from sets within IRI software products using the SortCL data definition and processing program; i.e., Read More
In data warehouses, it is common to map discrete data values to a set of ranges. This makes it easier to write queries that involve a range of discrete values. Read More
Dimensional data that change slowly or unpredictably are captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Dimensional data that change slowly or unpredictably are captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Dimensional data that change slowly or unpredictably is captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Dimensional data that change slowly or unpredictably are captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Dimensional data that change slowly or unpredictably is captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More