ETL stands for — Extract / Transform / Load — a process that extracts data from source systems, transforms the information into a consistent data type, then loads the data into a single depository. ETL testing refers to the process of validating, verifying, and qualifying data while preventing duplicate records and data loss.
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ETL Testing:
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1) What is Data ware housing
2) Features of data warehouse
3) OLTP & OLAP Systems
4) Database V/s Data warehouse
5) ETL V/S Database Testing
6) What is Data model
7) Types of Data models
8) Star schema & Snowflake schema
9) SCD (Slowly Changing Dimensions )
10) ETL V/S BI Tools

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