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 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
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
Data Masking/Protection
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
Data Migration
Connecting the Microsoft Access database to IRI Workbench and the back-end SortCL data processing program to exploit the many data manipulation and management capabilities of Voracity platform software is a simple process. Read More
Data Migration
This article demonstrates how to use IRI Workbench to facilitate the creation of new relational database tables for everyday database administrator type jobs, and of course jobs you would perform in other IRI products, such as:
IRI NextForm to migrate table data in one database schema to another IRI FieldShield to read flat-file or table data, mask it, and write it into new tables IRI RowGen to synthesize data from scratch into empty tables based on DDL info IRI Voracity to extract, transform, and load data from existing sources to new targetsThanks to the enhanced Data Tools Platform (DTP) interface, IRI Workbench users can easily create and use Structured Query Language (SQL) to build tables and run SQL jobs. Read More
Data Masking/Protection
This Jenkins entry is the fourth in a series of articles on the use of IRI test data management software – that masks, synthesizes, or subsets data – to feed safe, referentially correct test data for DevOps to CI/CD environments. Read More
IRI Business
The Eclipse Marketplace Client (MPC) is a new, ergonomic interface for finding and installing Eclipse-compatible plugins into your workspace. MPC features a convenient drag and drop process to put new solutions in play and expand the value of IRI Workbench in your enterprise — either within or beyond IRI Voracity data management operations. Read More
IRI Workbench
BigQuery is a managed, serverless data warehouse in the Google Cloud designed to enable scalable analysis over petabytes of data. It is a relational database Platform as a Service (PaaS) which supports ANSI SQL queries. 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