Given that companies are releasing new applications faster than ever—some releasing updates on demand and multiple times per day—too many organizations are using manual ETL test processes and the wrong tools to manage critical parts of releases for highly visible, often customer-facing applications. That translates into risk: risk to customer loyalty, the brand, confidential data, and critical business decisions.
Read this paper to learn how applying DevOps-style test automation to data warehouse/BI and other data integration projects can guarantee a high level of data quality—instilling the trust that is essential for the success of BI projects and the digital transformation initiatives that are ultimately driving them. You’ll get:
- An intro to how and why to apply a DevOps approach to BI/data warehouse testing
- Tips for getting started with BI/DWH test automation
- A quick guide to what test scenarios and test cases are most important for BI/DWH test automation