Data Integration Demystified: ETL vs. ELT - Choosing the Right Path
1. ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two popular approaches used in data integration and warehousing.
2. ETL follows a sequential process where data is extracted from sources, transformed according to predefined rules, and then loaded into the target system.
3. ELT flips the order of transformation, loading the raw data into the target system first and performing transformations within the target environment.
4. ETL ensures data quality and consistency upfront by applying transformations before loading, while ELT offers flexibility by allowing transformations to be performed on-demand within the target system.
5. Choosing between ETL and ELT depends on factors like data complexity, performance requirements, available resources, and desired agility in the integration process.
For More details please visit https://intrestingwebstories.com/