What is an ETL data pipeline?
ETL stands for Extract, Transform, and Load. In an ELT process, data is first extracted from a source, then transformed and formatted in a specific way, and finally loaded into a final storage location. These pipelines are useful for organizing and preparing data for future purposes such as performing analysis and model creation smoothly and efficiently:
Figure 2.4: Sample ETL pipeline
ELT stands for Extract, Load, and Transform, and is similar to ETL, but the data is first loaded into the target system and then transformed within the target system.
Which one to use depends on the specific requirements and characteristics of the systems involved and the data being moved. Here are a few factors that you might consider when deciding between ETL and ELT:
- Data volume: If the volume of data is very large, ELT might be more efficient because the transformation step can be done in parallel within the target system ...
