Abstract: This article demonstrates the use of the Chrome Remote Desktop (RDP) extension from Google to run IRI Workbench and its SortCL-powered mapping, masking, and munging jobs remotely from a browser. Read More
Over the course of this blog series, we’ve described several data management capabilities, as well as why those capabilities are important and worth caring about. We’ve covered testing, both in terms of test design automation and test data management, data governance and data masking, data migration and modernization, and data quality and improvement. Read More
We started this series of articles by talking about test design automation and the need to introduce automation throughout your testing processes. In this blog, we come full circle to talk, once again, about testing. Read More
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
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
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
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
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
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
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
Public and private cloud file systems are becoming increasingly popular places for businesses and government agencies to store their data. Several major competitors have arisen in the cloud storage provider space, with Amazon, Microsoft Azure, and Google Cloud Platform at the top. Read More