With the growing amount of data and data sources within organizations, Business Intelligence (BI) is becoming increasingly complex. If data-driven services are not reliable, this can have major consequences for a company's governance. Testing BI environments therefore requires specific knowledge. This training focuses on this expertise, a must-have for any tester in a BI environment.
We start with an exploration of a risk-based testing approach: what is the purpose of testing, and what exactly do we mean by quality? In doing so, we use the TMAP VOICE model, among others. Next, we show how to apply this approach in a BI & Data environment.
Then we dive deeper into important concepts such as 'Data Profiling' and the DAMA Data Quality Dimensions. Finally, we share practical tips and tricks to get the best results with SQL.
What will you learn?
The following topics will be covered during this training:
- The VOICE Model
- Risk Based Testing
- Testability
- Quality in Data/BI
- 3-layer system
- DAMA Quality Dimensions
- Test Data/Data Profiling
- How to manage for data quality?
- Test design techniques: Data Combination Test
- Pairwise testing
- Review/static testing
- Syntactic testing
- Process flow
- Automation in testing vs Test automation
- Application in your own environment
What will you do?
The training allows you to gain knowledge and practical experience with the above topics through short introductions followed by relevant exercises and leaves plenty of room for sharing experiences among the participants.
For whom is this training suitable?
This training is intended for anyone involved with testing in a BI environment.
What prior knowledge do you need?
This training requires basic IT knowledge. Basic knowledge of BI environments is also required.
Exam information
There is no exam with this training.
