ETL
Abstract: IRI and DataSwitch have partnered to create an end-to-end, multi-featured metadata and data engineering environment to: modernize legacy data and ETL jobs, create and orchestrate data mapping operations with AI, mask PII on the fly, and wrangle data in business-friendly ways for analytics.
Big Data
Three years after the release of CoSort V10, a significant interim update to IRI’s primary data transformation product has been announced. This article summarizes what’s new in CoSort since Version 10.0.1 was introduced in the summer of 2018.
Business Intelligence (BI)
Abstract: Now that XLS and XLSX files are now also directly supported in IRI FieldShield by virtue of their new /PROCESS (format) support in the CoSort 10.5 SortCL program, IRI Voracity data management platform and standalone data masking users have three different ways to “shield” sensitive data in their spreadsheets.
Business Intelligence (BI)
The names of IRI software products and how they run have at times been a source of mystery, or even confusion, to the uninitiated. This article spells out the pieces and clarifies their interplay, providing a quick primer for prospective users, partners, and new industry analysts.
Data Transformation
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.
Data Masking/Protection
IRI has discussed startpoint security in further detail with the Outlook Series in a segment about data masking.
This article defines what we’d like to call “startpoint security” mostly by virtue of a comparison to endpoint security.
Big Data
According to Simson L. Garfinkel at the NIST Information Access Division’s Information Technology Laboratory,
De-identification is not a single technique, but a collection of approaches, algorithms, and tools that can be applied to different kinds of data with differing levels of effectiveness.
IRI Workbench
As we transition IRI Workbench to the Neon version of Eclipse™ in 2017, the Easy Shell feature that facilitated command-line executions of job and batch scripts will no longer be available.
Big Data
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.
Data Transformation
For the last 30 or so years, the precursor to most large scale business intelligence (BI) environments has been the Enterprise Data Warehouse (EDW). A data warehouse (DW) is usually a central database (DB) for reporting, planning, and analyzing summarized, subject-matter data integrated from disparate, historical transaction sources.