FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.

Detailed explanation-2: -At its most basic, the ETL process encompasses data extraction, transformation, and loading. While the abbreviation implies a neat, three-step process – extract, transform, load – this simple definition doesn’t capture: The transportation of data. The overlap between each of these stages.

Detailed explanation-3: -Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML).

Detailed explanation-4: -ETL, which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the systems end-users can access and use downstream to solve business problems.