How is ETL Testing Different from Database Testing

ETL testing is a data-centric process that uses various SQL queries to access, extract, transform and load records from source systems into a target data warehouse. 

Benefits Of ETL Testing

ETL testing ensures that only the standard quality and accurate data is saved in the production servers. In addition, it helps in eliminating the risk f data loss and provides the access to the user at any time. It is applicable in data warehouse systems and is useful in obtaining relevant information for analytics and business intelligence. Above all, it ensures that data is transferred from heterogeneous sources to the central data warehouse with strict adherence to transformation rules. To further know about its benefits, one can enroll in any leading ETL Testing Training Institute in Noida. Apart from these, given below are some of the benefits of ETL testing.

  • Useful in extracting or receiving data from any data sources at the same time
  • Helps in loading the data from heterogeneous sources to a single target at the same time.
  • Is capable of loading different types of goals at the same time.
  • Helps in extracting necessary business data from various sources.
  • Is useful in performing any data transformation according to the business.


How is ETL Testing Different from Database Testing?

The database testing helps in validating and integrating the data and is used to integrate the data from multiple applications and server impact. In addition, it uses the ER method and is applied to OLTP systems. The database testing uses normalized data with joins. It contains the transactional system where the flow of business occurs and uses tools like QTP and Selenium. 

On the other hand, ETL testing is useful for data extraction and transformation & loading for BI reporting. In addition, it is useful for information, forecasting, and analytical reporting and uses the multidimensional method for the same. It is applicable in OLAP systems and it uses the de-normalized data with fewer joins, more indexes, and aggregations. Furthermore, it contains historic data that cannot be used in a business flow environment and uses tools like QuerySurge and Informatica. 

Best ETL Tools in the Market

The ETL testing process requires various tools for conducting testing considering the volume of data. Many institutes provide ETL Testing Training in Gurgaon and one can enroll in them to further learn about these tools. Given below are some of the leading ETL testing tools in the market. 

  • RightData.
  • Integrate.io.
  • iCEDQ.
  • DataQ.
  • BiG EVAL.
  • Informatica Data Validation.
  • QuerySurge.
  • Datagaps ETL Validator.


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