- ETL stands for Extract, Transform, and Load. It’s a data integration process that involves: Extracting data from various sources Transforming the data into a consistent format Loading the data into a destination data store ETL is necessary for managing and processing large amounts of data. It’s used in data warehousing to bring data from multiple sources into one centralized database. The five steps of the ETL process are:
- Extract
- Clean
- Transform
- Load
- Analyze ETL is different from ELT (Extract, Load, Transform). ELT is more ideal for big data management because it doesn’t require much upfront planning for data extraction and storage.