What is the data warehouse testing?

Data warehouse testing is a process that is used to check and qualify for data integrity that is maintained in a certain type of storage device. The idea of ​​testing is to ensure that the data does not experience any type of corruption and remains complete and sought after if necessary. Regular testing of stored data allows you to identify any problems that can be developed and fixed these problems before the stored data is fully damaged and can only be reconstructed partially by some type of data recovery process.

In many ways, data warehouse testing is very similar to any type of testing to ensure the integrity of information stored on the hard disk computer or some remote storage device. The data contained in the warehouse is systematically inspected using a software program that reads each file or other data source to make sure it remains fully intact and accessible. Some types of data warehouse testingCorrect Opnost Limited range of errors within the overall test process. Others simply assemble an exception list, allowing the user to evaluate each exception individually before any action.

Data warehouse testing usually uses a model running system. This simply means that the software uses the basic formula known as ETL or loading the transformation of extraction. The aim is to compare the current data status with the condition of information when it was stored for the first time. If any errors are identified, the data are marked for further inspection. In most cases, errors or exceptions are smaller and can be repaired with a relatively small effort, either using protocols built into the test software or by reviewing an analyst that can either fix or reject an exception, as a kind of corruption.

Basic Data Process Warehopping Testing is like JA testingKéhocoli type of electronic information transaction. Information is examined in blocks or cells, which are then cleaned or recorded for any exceptions that the software has identified before switching to the next block. As soon as the process is completed, the testing recapitulation is assembled, including information about the types of exceptions found and whether these exceptions have been repaired during testing or waiting for manual checks. As with any type of system testing, it is good to test the data warehouse regularly to ensure that the information remains complete and without any type of corruption.