What is ETL Testing?
ETL stands for Extract Transform Load. This process is a simple one: bring in data from the source system, transform it into a format that makes sense in the target system, then load it back into the target system. In other words: pulling information out of one place and putting it somewhere else.
It is a simple process of bringing data from the source system to the target system and then updating that information of the target once it has been brought in. The ETL tool searches through all your databases gather all required information and convert it into a human-readable format that can be easily processed by other applications (such as Excel). The Object API is used to extract data from source systems, transform it into a format that can be loaded into target applications, and validate that the data has been loaded correctly. The ETL testing process has three phases: extracting data from source systems (ETL), transforming it into a format that can be loaded into target applications (LOAD), and verifying that the data is loaded correctly (QUALITY).
ETL testing starts from the source systems and moves through each major piece of the data flow, storing and validating the records at each step. This process ensures that all of your data is stored in a format that can be loaded into target applications, including any transformations performed on them (such as translating social security numbers into a different format). Once you've validated your data against its source system(s), it's time to move on to validating it against its target system(s). If a column doesn't exist in one or both systems, then an error will be generated during loading; if something looks wrong when you try to load it into your application (like invalid characters), then an error will also be generated during processing.
So, what is ETL testing? It generates data from many different systems that can be stored in a central repository and used by multiple applications. The data could be used by any system, including the master database management system (DBMS), which is often called a “data warehouse.” The term “data warehouse” refers to an application that stores information about customers and products so that it can be analyzed for trends and patterns, rather than just being used as-is.
A controlled extraction process can also be used when extracting data from other sources, such as databases or PDF files. This is one of the most common techniques for extracting data from a source. It allows you to keep your system updated by periodically extracting new batches of records and storing them in a database. You can test your data extraction process before launching it into production by creating a test environment that contains sample records with missing values or incorrect formatting so that you know what errors will be present in your final product if they occur during real-world use cases.
You may have heard of ETL (extract, transform, and load) as a way for big companies like Google or Facebook to move large amounts of information from one place to another without having to worry about breaking anything along the way. This kind of work involves taking information from one source (like an Excel spreadsheet or text file) and transforming it into something else (like JSON). Then it gets loaded into another location where it can be used by multiple teams who need access to this type of information quickly without having direct access themselves—for example, marketing departments want to access it but don't have programming skills; project managers need real-time analytics reports, etc.
With this, we can wrap up the topic "what is ETL testing" by stating that ETL testing is a process that allows you to keep your system updated. It's not just about testing, though. It's also about monitoring and logging data as it comes in so that if there are any problems with the data coming into your system, they can be resolved at once. We also recommend checking out the PC game solutions and finance solutions from WeTest which are designed to overcome industry-standard quality checks and compliance challenges.