Prepare For Data Warehousing and ETL Career

An ETL tool is used to execute an integration project, and it includes three steps: extraction, transformation, and loading. Thus, an ETL tool extracts data from disparate sources, transforms it to make it compatible with the destination system, and then loads it into the destination system.

A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. ... It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing

The main difference between ETL and Data Warehouse is that the ETL is the process of extracting, transforming and loading the data to store it in a data warehouse while the data warehouse is a central location that is used to store consolidated data from multiple data sources.


  • Facilitate Performance
  • Provide a Visual Flow



ETL Testing

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