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Managing ETL Processes

What are the different methods used to perform ETL?
The following sections highlight the common methods used to perform these tasks. Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources. It then transforms the data according to business rules, and it loads the data into a destination data store.
What is ETL in data management & business intelligence?
ETL (Extract, Transform, Load) is a fundamental process in data management and business intelligence, which involves extracting data from various data sources, transforming it into a standardized and usable format, and loading it into a target system, such as a data warehouse or a data lake.
What is the final stage of ETL?
The final stage of the ETL process is loading the processed data. Specifically, it relocates the data from the second stage to a target database. This target system could be a data warehouse, a data lake, SQL, NoSQL, etc. Simply put, it is a place where it will be ready for major data analysis.
How to choose the right ETL stack?
These tools help consolidate data from various sources into data warehouses or data lakes, streamlining data integration and management. In order to choose the right stack for the ETL process, start with choosing the target database.

What are the different methods used to perform ETL?