ETL represents Extract-Transform-Load and it is a cycle of how data is stacked from the source framework to the data warehouse. Data is separated from an online transactional processing (OLTP) database, modified to coordinate with the data warehouse outline, and stacked into the data warehouse database. Numerous data distribution centers additionally fuse data from non-OLTP frameworks, for example, spreadsheets and text/document files.
ETL TESTING TRAINING OVERVIEW
ETL (Extract-Transform-Load) testing is done to guarantee that the data that has been stacked from a source to the desired place after business modification is precise and correct. It additionally includes the validation of data at different stages that are being utilized between source and desired place. ETL testing carries out a sequence of tasks to troubleshoot each phase of the change guaranteeing effectiveness. It validifies the efficiency of the data, approves the source, runs data checks, runs execution tests on the data, keeps mistake logs, and runs a large group of different tests. In this way, ETL and data warehouse testing are an essential piece of an organization’s capacity to accumulate precise data about its exhibition on the lookout.