Design & Develop

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Extract, transform, load Testing the Extract, Transform, and Load Process in Data Warehouses

Pulling data from a source system and putting it into a data warehouse is a process commonly known as extract, transform, and load, or ETL. Testing the process can be a chore—you need to be sure all appropriate data is extracted, that it is transformed correctly to match the data warehouse schema, and that it's all imported. Instead of testing the ETL process as a black box, you can pull it apart, testing each piece in isolation.

Matthew Heusser's picture Matthew Heusser
Five pillars 5 Pillars of a Successful Test Automation Implementation

Discussions on what constitutes a “proper implementation” of test automation often focus on what tool you should use, but that is only one part of the equation. Bas Djikstra details four other things you should consider, how they contribute to the success of your test automation, and what risks are associated with failing to pay proper attention to each of them.

Bas Dijkstra's picture Bas Dijkstra
Continuous delivery Test Coverage in the Age of Continuous Delivery

Test coverage is a strategy to help us spend scarce testing time on the right priorities. When things were tested last, how much automation coverage we have, how often the customers use the feature, and how critical the feature is to application are all factors to consider. Here are some ideas for keeping quality high when you're transitioning to continuous delivery.

Matthew Heusser's picture Matthew Heusser
Application logs Who’s Using Your App? Examine Logs for Testing Insight

When testing an application, have you ever thought to yourself, "I wonder who uses this"? Examining the app's logs can give you some idea. Logs are helpful for testers because they provide real feedback and insight into an application as it’s being used, as well as information that describes or can even help solve bugs. Here's how to use them to inform your testing.

Josh Grant's picture Josh Grant

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