Data Masking/Protection
Once a database exceeds a certain size, it becomes expensive — and risky from a security perspective — to provide full-size copies for development, testing, and training. 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
Data Quality (DQ)
Customers drive business, and they want to be understood and valued. That starts with getting their (only) name right, and having an accurate view of their transaction history, preferences, and related information. 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
Big Data
Editors Note: This example demonstrates our earliest, least direct (though still available) method of using IRI FieldShield for NoSQL database protection; i.e., for MongoDB data masking. 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
Data Masking/Protection
Editors Updates: Q2’16: In addition to the database profiling wizard in the data discovery menu group in IRI Workbench described below, IRI has introduced robust data classification that enables the application of field rules for multi-source data transformation and protection through data class libraries. Read More
Big Data
To compete effectively, business users must be able to rapidly produce and present accurate, concise, and compliant information. Whether the analytic discipline is diagnostic, descriptive, predictive, or prescriptive, time-to-visualization matters. Read More
Data Masking/Protection
This is the last in a four-part series to introduce IRI CellShield. An overview is found here. The following parts demonstrate how to use the other functions in CellShield: data masking and encryption. Read More