ETL Testing: How to Extract, Transform, And Load Data
What is ETL testing?
ETL stands for Extract-Transform-Load. ETL testing is conducted after a business transformation to ensure that data loaded from the source to the destination is accurate. For example, tools like the Apache Hive components software are available for this purpose.
Data is extracted from an online transaction processing database and often non-online transaction processing systems such as spreadsheets or text files. This is transformed to match the existing data type in the data warehouse and then loaded into the data warehouse database.
An example of ETL

If you have a charitable organization with different departments such as fundraising, marketing, and accounting, each department will be handling the information of volunteers and donors in their own ways and also store that data differently. This is even more likely with hybrid working scenarios.
If they had to manually cross-reference every individual on their systems, it would take a long time. A data warehouse for storing data from different sources in a single, unified structure with ETL massively speeds up this process. Read More…