The three ETL method stages are summarized below: extraction, transformation, and loading are the three stages involved in the extraction, modification, and loading phase. Extraction, transformation, and loading (ETL) are the three stages that give the ETL method its name.
The first phase is extraction, which involves linking to a database and gathering the necessary information. The extraction process’s goal is to collect this data with as few resources as possible, and it should have no negative effects on the data source’s output, response time, or locking.
Second, the transition process applies a series of laws or functions to the derived data in order to translate it to the regular format. It is thus prepared and ‘cleaned’ in preparation for loading into the final destination. Depending on the nature and accuracy of the data source and the business and technical specifications of the target data center or database, this phase will take anything from a few hours to multiple days to complete.
Finally, in the loading process, the collected and cleaned data will be imported into the target database or warehouse in the loading process. Based on the specifications, the data may be overwritten to contain cumulative data; instead, additional data may be inserted at frequent intervals in a historical format. The frequency and amount of additions or replacements vary based on the required capital as well as the company requirements.