![]() ![]() This process is essential because it helps to gain the best results possible, but it slows down the complete analysis. Data validation used in the process like Extract, Transform, and Load (ETL), in which you have to transfer data from database source to a targeted data warehouse for joining it with other sets of data for analysis to increase the accuracy. ![]() ![]() It is one of the most crucial parts of the data handling task, whether it is for the field of information collecting, presenting, or analyzing the data.Īccording to the basic definition, it is a method to check the quality and accuracy of data, or it is defined as the data cleaning to ensure that data is complete, unique, and it is present in the required range. Hence it is essential to validate the data before using it in the process, and this can be done through data validation. In data analytics, if your data is not correct from the starting point, then it can definitely impact the results too.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |