![]() While ETL testing is about preparing the data for the warehouse, data warehouse testing covers a broader range of stages. Going through these three separate steps will help to better refine the eventual outcome. Throughout this testing phase, each step should find potential problematic data. This final step of the process takes large amounts of data to a single point where it can all be stored together. This is to say that the data loads into the data warehouse. Once extracted and formatted, the data is then sent to the final repository. ![]() This step is also referred to as MapReduce. This part of the process also involves quality control – making sure that each data element is without defects and can work in the format needed. This means that there are all kinds of different formats that need to be transformed to suit the end product. Instead of taking single pieces of data from a database, data warehouses take in bulk amounts. ![]() Once extracted, the various components need to transform to fit into the desired format. Any non-transformable record is also flagged during this process. This is where an important transformation flow works to change the data into the required form. The difficulty here is that the input data can be taken from various sources, featuring all kinds of different formats and qualities. Also called data staging or pre-Hadoop, extraction is all about placing components into your system by copying them over from the source. The extraction step of the process is all about input data. These warehouses can be vulnerable to data additions, so a carefully structured process is important.īelow is a breakdown of each step in the system: 1. ETL is a series of events that allow for new data to be added into data warehouses in bulk. This refers to the three different steps that occur during this process. What Is ETL Testing?ĮTL stands for Extract, Transform, Load. Let’s explore the concepts of ETL testing, data warehouse testing, and how they are achieved. The process allows you to add new data in large quantities. This is where the importance of a well-structured ETL test comes into play. This is because they follow the same basic idea.ĭata warehouses differ from databases, and they pose new challenges and vulnerabilities. How To Perform ETL Testing Or Data Warehouse Testing?ĮTL testing and data warehouse testing are slightly separate processes, but they are often considered synonymous.
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