In data transformation logic, what is the significance of a merge transformation?
- It combines multiple data streams into a single stream
- It divides a single data stream into multiple streams
- It performs data cleansing operations
- It validates data integrity
A merge transformation in data transformation logic is significant as it combines multiple data streams into a single stream. This consolidation of data is useful for integrating information from different sources or stages of processing, enabling further analysis or loading into target systems.
Loading...
Related Quiz
- How does the concept of 'shift left' in ETL testing impact risk management?
- ETL testing methodologies will need to adapt to the increasing use of ________ in data management and processing.
- ________ testing in ETL involves ensuring that all expected data is loaded into the target system.
- In the context of test case design, what is state transition testing?
- Which type of data storage is typically used in a data lake?