Extract Load Transform (ELT) is a data integration process that involves extracting data from various sources, loading it into a data storage system, and then transforming and preparing the data for analysis or reporting. Unlike the traditional Extract Transform Load (ETL) process, ELT involves loading raw data directly into the storage system without prior transformation. This allows for faster and more efficient data processing as the transformation is performed on the raw data within the storage system itself. ELT is commonly used in big data applications where the volume and velocity of data make traditional ETL processes time-consuming and resource-intensive.
This mind map was published on 13 February 2024 and has been viewed 82 times.