Etl Vs Elt

🚨 ETL vs ELT which to prefer for data ingestions : 👇

🚨 ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are both data integration processes, but they differ in their approach and use cases. Here are five key points of comparison:

🍀 Order of Processing:
🍁 ETL: In ETL, data is first extracted from the source systems, then transformed into the desired format, and finally loaded into the target data warehouse. Transformation occurs before loading.
🍁 ELT: ELT first extracts data and loads it into the target data warehouse, and then transformations are applied within the data warehouse. Transformation occurs after loading.

🍀 Data Warehousing :
🍁 ETL is often associated with traditional data warehousing systems, where data is cleansed and transformed before being loaded into the warehouse.
🍁 ELT is commonly used in modern data warehousing, where the data is initially loaded "as is" into the warehouse, and transformations are performed using the warehouse's processing power.

🍀 Scalability :
🍁 ETL might require substantial compute resources for data transformation, making it less suitable for handling massive data volumes.
🍁 ELT leverages the scalability and parallel processing capabilities of modern data warehouses, which can handle large datasets more efficiently.

🍀 Data Sources :
🍁 ETL traditionally works well with structured data sources, as transformation is typically required before loading.
🍁 ELT can handle a broader range of data sources, including semi-structured and unstructured data, as transformation can be deferred until after loading.

🍀 Flexibility :
🍁 ETL provides more control over the transformation process, making it suitable for complex data integration scenarios that require extensive data cleaning and manipulation.
🍁 ELT is more flexible and agile, allowing organizations to adapt to changing data needs and incorporate new data sources without significant changes to the ETL process.

🍁 Bonus :
The choice between ETL and ELT depends on factors like data volume, data sources, existing infrastructure, and business requirements.