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. Read More
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. Read More
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
IRI Business
The other day, two different companies selling me services asked if their offering were in my wheelhouse. Since I didn’t know I had a wheelhouse, I couldn’t answer them.I Read More
Big Data
Before Big Data became a buzz word and Gartner hype cycle fodder (never mind falling into the ‘Trough of Disillusionment‘), companies like IRI were handling it. Read More
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