test data management Archives

Data Masking in Healthcare

by Alyssa Ardhya

Healthcare providers, medical researchers, and other “business associates” collect and process sensitive data on patients, which HIPAA law classifies as protected health information (PHI). Because PHI is stored and shared in databases, clinical notes, imaging studies, treatment forms, and EDI (claim) formats – both on-premise and in the cloud – safeguarding it by finding and de-identifying it can be a complex, time-consuming challenge. Read More

Data Masking/Protection

Data Masking in the BFSI Sector

by Alyssa Ardhya

The Banking, Financial Services, and Insurance (BFSI) industry handles huge amounts of personally identifiable information (PII) and sensitive financial data each day. This data ranges from NID, account information and credit scores to financial transactions and loan documents. Read More

Data Masking/Protection

Generating Test Data for Azure DevOps

by Adam Lewis

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

Test Data

Building Test Data in a CI/CD Pipeline

by Adam Lewis

Automating where you can, when you can, is the basis of DevOps testing and test data automation. Allowing IRI job script executions which mask or synthesize test data to be handled in the CI/CD pipeline supports this pursuit. Read More

Big Data

Send Data from IRI Jobs & Logs to Splunk…

by Devon Kozenieski

Production or test data targets, as well as the operational log data, created by SortCL-compatible data manipulation or generation jobs in the IRI Voracity data management platform and its included tools (IRI CoSort, NextForm, RowGen, FieldShield) are all machine-readable. Read More

Test Data

Test Data Management: Test Data Sharing & Persistence (Step…

by David Friedland

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)

Test Data Management: Test Data Generation & Provisioning (Step…

by David Friedland

This article is part of a 4-step series introduced here. Navigation between articles is below.

Step 3: Test Data Generation & Provisioning

In 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

Test Data Management: Test Data Needs Assessment (Step 2…

by David Friedland

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

Test Data Management: Goal Setting & Team Building (Step…

by David Friedland

This article is part of a 4-step series introduced here. Navigation between articles is below.

Step 1: Goal Setting & Team Building

Someone 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 data

In all these cases, the most realistic data possible is needed, but it should also be safe and de-personalized. Read More

Test Data

Test Data Management: A Primer

by David Friedland

Welcome to IRI’s primer on test data management. This is the opening article, which is followed by a 4-step series.

Introduction

As anyone familiar with the challenges of healthcare.gov Read More

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