The efforts and costs involved in Data Migration testing may reap long-term benefits for a business, but justifying it often demands the creation of a Data Warehouse. Unless a company adopts a full-proof QA strategy, chances are less that the ETL projects will succeed. Losing data or information must be ruled out while migrating data to a data warehouse from some heterogeneous sources. This is the primary objective of performing Data Migration or ETL testing. Keeping with all necessary validity checks, the QA team at Yogiti abides by the most stringent data transmission norms.
Yogiti QA experts can identify early stage issues at multiple data sources helping in effective transformation at the subsequent stages of ETL. Detailed validation of business logic and reconciliation of data mapping right from the raw data till its canonical form or testing the starflake schema ensure efficient ETL testing seamlessly. All of these processes need to work as desired and must come up with accurate and consistent outcomes. We are amongst very few Data Migration testing companies extending QA services for clients at all levels.