
Managing and Masking SharePoint Data with Voracity
This article explains how to connect with, and use data from, SharePoint sites — using the file system via OneDrive — for operations in IRI Workbench-supported data management software. Read More
This article explains how to connect with, and use data from, SharePoint sites — using the file system via OneDrive — for operations in IRI Workbench-supported data management software. Read More
Abstract: IRI has partnered with Windocks to provide an on-demand, test-ready virtualized repository that delivers masked, subsetted or synthesized databases in seconds for Docker containers, conventional instances, or workstations. Read More
IRI Workbench now contains a section of data cleansing, enrichment, and validation rules called Data Quality Rules for use in IRI CoSort data transformation and IRI Voracity ETL, reporting and data wrangling jobs. Read More
This article is third in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on visualizing Voracity-wrangled in Datadog. Read More
This article is first in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on the value of Datadog and Voracity together. Read More
Oracle database connection issues can be the most frustrating part of application installation and implementation. The many options available with its JDBC and ODBC drivers can be daunting. Read More
Forty years after the first release of IRI CoSort for CP/M, CoSort v10 for Unix, Linux, and Windows platforms was released in the middle of 2018. Read More
Splunk Phantom is an orchestration, automation, and response technology for running “Playbooks” to respond to various conditions. Phantom connects to Splunk Enterprise using the Phantom App for Splunk, so that actions can be taken on knowledge derived from data indexed in Splunk. Read More
In predictive analytics, machine learning involves training a computer to evaluate data sets and create prediction models from trends it finds in the data. Machine learning builds off traditional statistics and creates larger and more advanced models faster than a person ever could. Read More
KNIME is a leading open source analytic and visualization tool for data scientists. Wrangling raw data for KNIME projects is usually done via their intermediate file node, database connectors, or other extensions like Spark. Read More