Comparing Big Data Integration Methods
“That’s all you need in life, a little place for your stuff. That’s all your house is, a place to keep your stuff. If you didn’t have so much stuff, you wouldn’t need a house. Read More
“That’s all you need in life, a little place for your stuff. That’s all your house is, a place to keep your stuff. If you didn’t have so much stuff, you wouldn’t need a house. Read More
To analyze data successfully, it must first be prepared successfully. Poor quality data creates poor results. Worse yet is data that takes too long to collect and clean because it is too big or too foreign. Read More
Given the amount of data businesses garner daily from human interaction, it is easy to understand how their sources become rife with redundant or erroneous entries. Read More
In this demonstration, the Multi-Table Protect Job Wizard in the IRI Workbench GUI for Fieldshield and Voracity is used to define a rule for data in multiple Oracle tables. Read More
EDITOR’S NOTE: The information documented in this article applies to IRI Workbench versions released prior to Q4, 2023. For more recent information, please refer instead to this article. Read More
Editor’s Note: This article was writen in 2016. But since 2023, there are even more robust PII discovery capabilities for data in structured, semi-structured, and unstructured (RDB, NoSQL DB, file, document, and image) sources using IRI DarkShield, including Named Entity Recognition (NER) model matchers. Read More
Update Q3’2019: Subsequent to the development of the IRI Voracity Add-On for Splunk described below, there is now also a Splunkbase-registered IRI Voracity App for Splunk available for Seamless Data Preparation, Indexing, and Visualization…
After our first examples of external unstructured data preparation and PII data masking for Splunk generated interest in these capabilities, IRI wanted to develop a direct integration from the Splunk user interface (UI). Read More
Applying a Pseudonym Rule in the IRI Workbench GUI for FieldShield or Voracity
To create pseudonym values that will be consistent across tables — and keep up with changing data in those tables — the IRI Workbench GUI for FieldShield and Voracity offers a few methods. Read More
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
Editors Note / UPDATE: The article below describes an older method of data masking in Cassandra through IRI FieldShield. As of 2023 however, the DarkShield V5 features a purpose-built NoSQL DB API for searching and masking operations in Cassandra, as well as fit-for-purpose graphical wizard in the IRI Workbench GUI for DarkShield that leverages the API for PII protection in Cassandra. Read More
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