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. Read More
Big Data
The traditional or Enterprise Data Warehouse (EDW) has been at the center of data’s transformation to business intelligence (BI) for years. An EDW involves a centralized data repository (traditionally, a relational database) from which data marts and reports are built. Read More
Big Data
Has your organization considered using a data lake? This article explains what a data lake is, and posits a data lake architecture optimized for analytic results. Read More
Big Data
Among analytic tools for statistical computation and graphics, R has shown an increase in popularity among data miners, and in the development of its open source language. 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
IRI Workbench
Master Data Management (MDM) is a strategic enterprise information management (EIM) life cycle initiative designed to foster the consistency and accurate maintenance of master (or reference) data. Read More
IRI Workbench
This article is fourth in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on the security of your metadata. Other articles in the series cover the use of Git as a metadata asset hub, for version control, and for tracking metadata lineage. Read More
IRI Workbench
This article is third in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on its value in tracking metadata lineage. Read More
IRI Workbench
This article is second in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on its metadata version control. Other articles in the series cover the use of Git: as a metadata asset hub, for tracking metadata lineage, and for metadata security. Read More
IRI Workbench
This article is first in a 4-part series on managing job-specific metadata assets in IRI Workbench. It focuses on the value of a metadata hub in general, and a Git implementation in particular. Read More