How can you measure data completeness in a data lake?
Data lakes are large repositories of raw and unstructured data that can be used for various analytical purposes. However, data lakes can also become messy and unreliable if the data quality is not monitored and maintained. One of the key aspects of data quality is data completeness, which refers to the extent to which the data covers the intended scope and domain. In this article, you will learn how to measure data completeness in a data lake using some common methods and tools.