Test Data
This article is the last of a 4-step series introduced here.
Step 4: Test Data Sharing & Persistence
Being able to modify, deploy, store, and re-use test data is important. Read More
Data Quality (DQ)
This article is part of a 4-step series introduced here. Navigation between articles is below.
Step 3: Test Data Generation & ProvisioningIn prior steps outlined in this series, you have determined the purpose and properties of the data, and who will produce and consume it. Read More
IRI Business
This article is part of a 4-step series introduced here. Navigation between articles is below.
Step 2: Test Data Needs Assessment
Once the questions of who needs test data for what — and who will be dealing with it along its lifecycle are answered (see Step 1) — a deeper dive is needed into the specific technical aspects of the data itself. Read More
Test Data
This article is part of a 4-step series introduced here. Navigation between articles is below.
Step 1: Goal Setting & Team BuildingSomeone needs test data to do something, like:
stress-testing the functions and performance of applications prototyping database load/query and DW ETL/ELT operations benchmarking prospective new hardware or software outsourcing development or proofs of concept demonstrating systems with real-looking, but not real, sample dataIn all these cases, the most realistic data possible is needed, but it should also be safe and de-personalized. Read More
Test Data
Welcome to IRI’s primer on test data management. This is the opening article, which is followed by a 4-step series.
IntroductionAs anyone familiar with the challenges of healthcare.gov Read More
IRI Business
Imagine it’s time to write a headline for your blog article. You just spent hours drafting, in your opinion, a masterpiece. You selected a great keyword or two as the basis of your subject and compiled some great content to make that keyword shine. Read More
MDM
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
IRI Business
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.
Business Intelligence (BI)
As CoSort users have known for a long time, the Sort Control Language (SortCL) program supports multi-level, conditional aggregation functions on a static or running basis. Read More
Data Transformation
Editors note: CoSort Version 10 was released in mid-2018. Please see this article for links to its features and upgrade details.
What’s New in CoSort 9.5.3
Along with the new website, there is a new release of IRI’s flagship CoSort package for data management and data protection. Read More
Data Transformation
Full disclosure: As this article is authored by an ETL-centric company with its strong suit in manipulating big data outside of databases, what follows will not seem objective to many. Read More