Using Static Data Masking & Dynamic Data Unmasking
Usually static data masking is performed on production data at rest so it is stored safely, or when replicated to non-production environments for testing or development purposes. Read More
Automatically Forward Target or Log Data into Splunk
Production or test data targets, as well as the operational log data, created by SortCL-compatible data manipulation or generation jobs in the IRI Voracity data management platform and its included products (IRI CoSort, NextForm, RowGen, FieldShield and DarkShield) are all machine-readable. Read More
Filtering Tables in IRI Workbench
IRI Workbench provides a number of features for working across multiple tables in a database. It includes wizards to: profile databases; classify columns; subset, mask and migrate data; generate test data; etc. Read More
Processing Live Data Feeds in Voracity
This article demonstrates processing a web-based data source in the IRI Voracity data management platform. Static and streaming data defined in URLs — including flat files in formats like CSV or through FTP/S, HTTP/S, HDFS, Kafka, MQTT, and MongoDB — are supported by the default data processing engine in Voracity, CoSort Version 10. Read More
Browsing the Operational Data Store (ODS)
What Is an ODS?An operational data store (or “ODS”) is another paradigm for integrating enterprise data that is relatively simpler than a data warehouse (DW). Read More
Connecting to Snowflake for Data Integration & Security
Connecting to and working with data in cloud data warehouse powered by an AWS Snowflake database from the IRI Workbench IDE is no different than with an on-premise SQL-compatible source. Read More
JSON and the Truth it Captures
“Have you stopped speeding?” You could probably object to a leading question like this in court, but what happens when an important question with only a yes or no answer is solicited on a mandatory form, and the response becomes part of an actionable database record? Read More
Anonymizing Indirect Identifiers to Lower Re-ID Risk
Editors Note: This articles covers data anonymization as a form of data masking for privacy protection. In particular, it covers the concepts of quasi-identifiers and re-identification risk and the use of HIPAA data de-identification standards for protecting sensitive data in research through the use of anonymizing techniques like age blurring and demographic attribute blurring in conjunction with re-ID risk scoring. Read More
Production Analytic Platform #4/4: Unifying the Worlds of Information…
This is part 4 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Processing Real World Data [Part 3]
In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world. Read More
Production Analytic Platform #3/4: Processing Real World Data
This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data. Read More
Production Analytic Platform #1/4: Process on Par with Information
This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake. Read More