ETL
IRI CoSort continues to be a low-cost way to accelerate Informatica ETL via pushdown optimization, and IRI RowGen can generate safe, referentially correct test data for any EDW. Read More
Data Transformation
This is first in a series of articles explaining how to create and use Flows in the IRI Workbench GUI for Voracity. Flows contain ETL and other data processing steps, and are illustrated in flow and transform mapping diagrams in the GUI. Read More
Data Transformation
Beyond the client-side task launch scheduler provided in the IRI Workbench graphical IDE for Voracity™ ETL and sub-product users, server-side IRI job scheduling is also possible in simple tools like cron, and more advanced workflow automation suites like StoneBranch Universal Automation Center™ (UAC), CA Autosys, Cisco TES, IBM Tivoli, and ASC ActiveBatch. Read More
Data Transformation
During the design of IRI Voracity workflows in the IRI Workbench (Eclipse) GUI, you can preview the results of one or more transforms before saving or running the project. Read More
Big Data
Note: This example demonstrates a more direct method of using IRI FieldShield or IRI Voracity to statically mask PII within structured MongoDB collections. Our older how-to-article on indirect data masking of MongoDB through export/mask/import from 2015 is here, and a newer method through MongoDB’s native driver support in CoSort v10 from 2018 is here. Read More
Business Intelligence (BI)
A dimension is a structure that categorizes a collection of information so that meaningful answers to questions regarding that information may be obtained. Dimensions in data management and data warehouses contain relatively static data; however, this dimensional data can change slowly over time and at unpredictable intervals. Read More
Data Masking/Protection
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
ETL
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
Business Intelligence (BI)
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of using its external data wrangling engine – via the IRI CoSort product or Voracity platform — with QlikView when ‘big data’ sources are involved. Read More
Big Data
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of IRI CoSort with Tibco Spotfire when ‘big data’ sources are involved. Read More