Following data extraction, you’ll need to clean and format the extracted data to align with the structure and quality standards required by your data warehouse. ensure data accuracy and completeness during the process, because successful transformation lays the foundation for reliable and meaningful insights. Once data has been extracted and transformed, it’s loaded into your data repository. Depending on your organization’s needs and data velocity, you can do it in batches or in real time.
Testing and Validation
At this stage, your primary focus is on ensuring that taiwan whatsapp number data all the components of your data warehouse function correctly and reliably. To do so, you need to follow a structured approach comprising three types of tests: unit testing, integration testing, and user acceptance testing (UAT).
Starting with unit testing, you assess individual parts of your data warehouse, such as the ETL processes and the underlying database structures. Unit testing enables you to identify and rectify any errors or issues within these specific components so that each building block of your data warehouse functions as expected. Doing so also guarantees that it can handle data processing without any hitches. This way, you can detect and address issues early in the development process, reducing the risk of downstream problems.