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ETL Testing / Data Warehouse Process and Challenges: Today let me take a moment and explain my testing fraternity about one of the much in demand and upcoming skills for my tester friends i.e. ETL testing (Extract, Transform, and Load). This tutorial will present you with a complete idea about ETL testing and what we do to test ETL process. Complete List Tutorials in this series: •: ETL Testing Data Warehouse Testing Introduction guide •: ETL Testing Using Informatica PowerCenter Tool •: ETL vs. DB Testing •: Business Intelligence (BI) Testing: How to Test Business Data •: Top 10 ETL Testing Tools It has been observed that Independent Verification and Validation is gaining huge market potential and many companies are now seeing this as prospective business gain. Customers have been offered a different range of products in terms of service offerings, distributed in many areas based on technology, process, and solutions.

ETL or data warehouse is one of the offerings which are developing rapidly and successfully. Through ETL process, data is fetched from the source systems, transformed as per business rules and finally loaded to the target system (data warehouse). A data warehouse is an enterprise-wide store which contains integrated data that aids in the business decision-making process. It is a part of business intelligence. What You Will Learn: • • • • • • • Why do organizations need Data Warehouse?

Organizations with organized IT practices are looking forward to creating the next level of technology transformation. They are now trying to make themselves much more operational with easy-to-interoperate data. Having said that data is most important part of any organization, it may be everyday data or historical data. Data is the backbone of any report and reports are the baseline on which all the vital management decisions are taken. Most of the companies are taking a step forward for constructing their data warehouse to store and monitor real-time data as well as historical data. Crafting an efficient data warehouse is not an easy job. Many organizations have distributed departments with different applications running on distributed technology.

ETL tool is employed in order to make a flawless integration between different data sources from different departments. ETL tool will work as an integrator, extracting data from different sources; transforming it into the preferred format based on the business transformation rules and loading it in cohesive DB known are Data Warehouse. Well planned, well defined and effective testing scope guarantees smooth conversion of the project to the production. A business gains the real buoyancy once the ETL processes are verified and validated by an independent group of experts to make sure that data warehouse is concrete and robust. ETL or Data warehouse testing is categorized into four different engagements irrespective of technology or ETL tools used: • New Data Warehouse Testing – New DW is built and verified from scratch. Data input is taken from customer requirements and different data sources and new data warehouse is built and verified with the help of ETL tools.

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• Migration Testing – In this type of project customer will have an existing DW and ETL performing the job but they are looking to bag new tool in order to improve efficiency. • Change Request – In this type of project new data is added from different sources to an existing DW.