What is the difference between ETL and ELT?

What is the difference between ETL and ELT?

ETL stands for Extract, Transform, Load, while ELT stands for Extract, Load, Transform. In ETL, data is transformed before loading it into the target system, whereas in ELT, data is loaded first and then transformed.

Can you give me an example of when to use ETL?

Sure! ETL is often used when dealing with structured data from multiple sources that need to be cleaned and transformed before analysis, like in traditional data warehousing.

And when would ELT be more appropriate?

ELT is more suitable for big data environments where you can load raw data into a data lake and perform transformations later, leveraging the power of modern data processing tools.

What are the advantages of using ELT over ETL?

Some advantages of ELT include faster data loading, the ability to handle large volumes of data, and more flexibility in data processing since transformations can be done after loading.