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
This article is third in a 4-part series on managing metadata assets using Git version control for metadata in the IRI Workbench GUI. It focuses on the tracking of job script histories for the benefit of metadata lineage analysis. Read More
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
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
Data and database migration are key considerations for any system implementation, upgrade, or consolidation. Data migration happens for many reasons, like appliance upgrades or enhancements, server maintenance, or data center relocation. Read More
Introduction
In this article, I suggest ways to move your company’s data towards a higher state of quality. The highest quality occurs when the data meets the needs of your company. Read More
Background
Lines of business do not think in terms of metadata per se. Users want to know what information is available, and where it is. They want to know if the data is reliable, protected, who’s using it, where it came from and how it’s been changed. Read More
Master Data Management (MDM) is a discipline designed to make data more dependable, sharable and accessible. Here are some of IRI’s philosophies around MDM:
Most developers believe that data are, or should be, application-independent.
Data profiling, or data discovery, refers to the process of obtaining information from, and descriptive statistics about, various sources of data. The purpose of data profiling is to get a better understanding of the content of data, as well as its structure, relationships, and current levels of accuracy and integrity. Read More
IRI’s data management tools share a familiar and self-documenting metadata language called SortCL. All these tools — including CoSort, FieldShield, NextForm, and RowGen — require data definition file (DDF) layouts with /FIELD specifications for each data source so you can map your data and manage your metadata. Read More
Star schema is the simplest and most common database modelling structure used in traditional data warehouse paradigms. The schema resembles a constellation of stars — generally several bright stars (facts) surrounded by dimmer ones (dimensions) where one or more fact tables reference different dimension tables. Read More
