Data Quality (DQ)
It always bears repeating that being able to serve up high-quality data is really important. This is partly because the consequences of poor data quality can be severe – misleading analytics, stymied processes, greater storage costs (due to duplicated data), and so on – but also because historically many organizations have not treated data quality as the priority it should be. Read More
Data Migration
With the rise of the cloud, data migrations – and specifically, cloud migrations – have become (and, for that matter, are still becoming) increasingly important to many organizations. Read More
Data Transformation
This is the first in a series of blog posts that will highlight the various data management capabilities provided by IRI Voracity across a range of contexts and use cases. Read More
Data Masking/Protection
As discussed in our primer article, set files are used to furnish data for a variety of IRI Voracity-compatible applications, like CoSort, FieldShield, DarkShield, NextForm, and RowGen. Read More
Data Masking/Protection
Introduction: In the context of IRI software, set files are text files containing realistic or replacement values for data management applications in the IRI Voracity platform ecosystem. Read More
Data Masking/Protection
Abstract: This is the final in a series of 4 articles pertaining to IRI Ripcurrent, an IRI-developed command-line Java application that utilizes the Debezium embedded engine and the streaming feature of the IRI (CoSort) SortCL program to react in real-time to database (DB) change events. Read More
Data Masking/Protection
Abstract: The previous article in this series of 4 demonstrated real-time data replication with IRI Ripcurrent, an IRI-developed command-line Java application that utilizes the Debezium embedded engine and the streaming feature of the IRI (CoSort) SortCL program. Read More
Big Data
Abstract: The previous article in this series of 4 detailed how to install, set up, and configure IRI Ripcurrent, an IRI-developed command-line Java application that utilizes the Debezium embedded engine and the streaming feature of the IRI (CoSort) SortCL program to react in real-time to database change events by replicating data to downstream target(s), optionally with transformation (e.g., Read More
Data Masking/Protection
Abstract: Data collected, processed, and saved across industries is constantly generated and updated. Database (DB) tables can be refreshed with new data from applications or events in intervals as frequent as a fraction of a second. Read More
Data Masking/Protection
Abstract: The process of transferring data from one database (DB) to another can be complicated when those DBs do not use the same data types. A DB Data Type Mapping wizard is now implemented in IRI Workbench to help solve this problem for SortCL-driven data management jobs with different sources and targets. Read More
Test Data
Abstract: This article demonstrates how to synthesize realistic data to populate a full database schema with referential integrity in one operation via the IRI RowGen New Set File and New Database Test Data Job wizards in IRI Workbench. Read More