Master Data Management with Git
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
Search Results for: Master Data Management
Sharing IRI Data Management Jobs via Git
Editor’s Note: This article updates IRI’s original series on managing metadata assets in Git, and covers project export and import, particularly for use in enterprise data anonymization and test data management scenarios. Read More
Generating Test Data for Azure DevOps
This is the third addition to our 4-article DevOps pipeline series. Here are the links to related DevOps articles for Jenkins, GitLab and AWS CodePipeline. Read More
Masked Test Data in an AWS CodePipeline
This article demonstrates how to automate the execution of IRI DarkShield data masking jobs from SSH commands run from within the AWS CodePipeline to produce fit-for-purpose test data in the DevOps process. 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
Production Analytic Platform #2/4: Data Processing Drives Efficiency
This is part 2 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Processing Real World Data [Part 3] Unifying the Worlds of Information and Processing [Part 4]
Considering data processing as a central component of data management and on a par with databases offers new insights on how to improve overall efficiency and return on investment in traditional data warehouses. Read More
Data Consolidation Wizard for Data Quality
Given the amount of data businesses garner daily from human interaction, it is easy to understand how their sources become rife with redundant or erroneous entries. Read More
The Enterprise Data Warehouse, Then and Now
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
Data Quality and Fuzzy Searching
IRI is now also delivering fuzzy search functions, both in its free database and flat-file profiling tools, and as available field-function libraries in IRI CoSort, FieldShield, and Voracity to augment data quality, security, and MDM capabilities. Read More
Data Quality – Catching Rule Violations
Introduction This is my third installment of blog articles about Data Quality. In the first article, I postulated that data has quality when it has an acceptable level of errors. Read More