AGILE DEVELOPMENT & CONTINUOUS DELIVERY SOLUTIONS / BIG DATA APPLICATIONS
Big data applications
If you’re like many Global 2000 enterprises, your software exhibits considerable complexity: GUI and non-GUI processes, complicated business logic and different databases are expected to interface seamlessly and provide satisfying customer experiences in real time. Key to reducing risk while maintaining your standards of efficiency and quality is testing your data warehouse (DWH) and business intelligence (BI) systems. We at Tricentis suggest you keep a few things in mind while thinking about your own big data project:
Synthetic test data helps you reduce business risk
Accurately defined test data is a must for complex testing environments. It used to be common practice to simply extract test data from production data, an approach that drives up costs and is time-intensive. You can tailor synthetic data with pinpoint accuracy to provide optimal test coverage at the right stage of testing.
Reporting isn’t just a helpful tool – it’s a legal requirement
Institutions like banks and insurance companies are developing apps with more services for more customers than ever. At the same time, regulatory agencies are expanding requirements, making compliance more challenging than ever. In this environment, it’s never been more crucial to maintain an overview of your test results to ensure high data and processing quality and to make sure you’re meeting compliance requirements. Exact, consolidated reporting of DWH and BI systems go a long way to managing business risk and giving you peace of mind.
Business requirements in DWH/BI are highly volatile
This makes it all the more important to keep test cycles comprehensive and run times short. Testers can usually achieve high test coverage only with large numbers of specific SQL queries and complex joins against the DWH. As joins grow in complexity, only highly experienced technical staff can understand them. Tricentis Tosca Testsuite is a tool that can help you get unwieldy SQL queries under control so you can test your DWH as efficiently as possible.
Test cases should be defined from the business perspective
The business rules of your DWH/BI determine the data quality tests and the functional test cases that you need. This means that business teams should be able to read and understand test cases without the need for programming skills. Tricentis is aware that the need to maintain operational efficiency represents a particular challenge for Global 2000 companies, and this is no different for DWH/BI testing. The Tricentis approach allows business teams to manage even the most complex big data projects in plain English.