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ETL refers to the Extracting, Transforming, and Loading of data from any outside system to the required place. These are the basic three steps in the data integration process.
‘Extracting’ means locating data and removing it from the source file; ‘Transforming’ is the process of transporting it to the required target file, and in the ‘Loading’ stage the file is loaded to the target system in the specified format.
Learn more about the ETL Testing process through this Data Warehouse Tutorial!
An ETL Tester:
ETL Testing Process: Although there are many ETL tools, there is a simple testing process commonly used in ETL Testing. It is as important as the implementation of the ETL tool into your business. Having a well-defined ETL Testing strategy can make the testing process much easier. Hence, this process needs to be completed before you start the data integration with the selected ETL tool.
In this ETL Testing process, a group of experts comprising the programming and developing team will start writing SQL statements. The development team may customize them according to the requirements.
ETL Testing process has the following stages:
To learn more in detail, enroll in Intellipaat’s ETL Testing Course!
ETL Testing includes:
Types of data warehouse applications are:
Data mining can be defined as the process of extracting hidden predictive information from large databases and interpreting the data, while data warehousing may make use of a data mine for the analytical processing of the data in a faster way. Data warehousing is the process of aggregating data from multiple sources into one common repository.
Fact is a central component of a multi-dimensional model that contains the measures to be analyzed. Facts are related to dimensions.
Types of facts are:
If you have any queries, visit our ETL Testing Community and clarify all your doubts today!
Cubes are data processing units comprised of fact tables and dimensions from the data warehouse. They provide a multi-dimensional analysis.
OLAP stands for ‘Online Analytics Processing,’ and OLAP Cubes store voluminous data in a multi-dimensional form for reporting purposes. They consist of facts called ‘measures’ categorized by dimensions.
In addition to the above ETL Testing questions, there may be other vital questions where you might be asked to mention the ETL tools that you have used earlier. Also, you might be asked about any debugging issues you have faced in your earlier real-time experience.
Interested in learning ETL in detail? Check out our ETL Tutorial for Beginners!
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