How are complex data transformations typically handled during large database migrations?
- Applying batch processing
- Employing ETL processes
- Leveraging distributed computing
- Utilizing NoSQL databases
Complex data transformations involve altering the structure or format of data during migration. ETL (Extract, Transform, Load) processes are commonly used to extract data from the source database, transform it according to the target schema, and load it into the destination database. ETL processes enable comprehensive data transformations, such as data cleansing, normalization, and aggregation, ensuring compatibility between source and target systems.
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