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What is layout validation in SQL ETL testing?

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Layout validation in SQL ETL testing refers to the process of verifying that the structure and format of the data being extracted, transformed, and loaded (ETL) matches the expected layout and format. This includes checking: 1. *Column names and data types*: Ensuring that the column names and data...
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Layout validation in SQL ETL testing refers to the process of verifying that the structure and format of the data being extracted, transformed, and loaded (ETL) matches the expected layout and format. This includes checking: 1. *Column names and data types*: Ensuring that the column names and data types in the source and target systems match. 2. *Data formats*: Verifying that date, timestamp, and numeric fields are in the correct format. 3. *Field lengths*: Checking that the length of each field matches the expected length. 4. *Data encoding*: Ensuring that the data encoding (e.g., UTF-8, ASCII) is consistent throughout the ETL process. 5. *Nullability*: Verifying that null values are handled correctly and consistently. 6. *Data precision and scale*: Checking that numeric fields have the correct precision and scale. Layout validation is crucial in ETL testing to ensure that: 1. Data is accurately transformed and loaded. 2. Data quality issues are identified and addressed early. 3. Downstream applications and reports receive data in the expected format. By performing layout validation, you can ensure that your ETL process produces high-quality data that meets business requirements and user expectations. read less
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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

In the context of Extract, Transform, Load (ETL) - a key process in data warehousing - data validation takes on even more significance. Within an ETL process, data validation is the systematic process of checking the accuracy and quality of data both before and after it is extracted, transformed, and...
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In the context of Extract, Transform, Load (ETL) - a key process in data warehousing - data validation takes on even more significance. Within an ETL process, data validation is the systematic process of checking the accuracy and quality of data both before and after it is extracted, transformed, and loaded.

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