To answer this question, you need to understand the concept of a Data Warehouse and the quality of data stored in it.
A Data Warehouse is a large, centralized repository that stores data from various sources for reporting and analysis purposes. The primary goal of a Data Warehouse is to provide accurate and reliable data for decision-making.
Option A) Clean Data - This option is correct because the data in a Data Warehouse is generally clean. Before data is loaded into a Data Warehouse, it goes through a process called Extract, Transform, and Load (ETL). During the transformation phase of ETL, data is cleaned, standardized, and validated to remove any inconsistencies or errors.
Option B) Dirty Data - This option is incorrect because the data in a Data Warehouse is not generally dirty. The ETL process ensures that data is cleaned and validated before being loaded into the Data Warehouse.
Option C) Clean and Dirty Data - This option is incorrect because the data in a Data Warehouse is primarily clean. While it is possible for some dirty data to exist in a Data Warehouse, it is not the norm. The ETL process aims to eliminate dirty data as much as possible.
Option D) None of the above - This option is incorrect because the correct answer is option A, which states that the data in a Data Warehouse is generally clean.
The correct answer is option A. The data in a Data Warehouse is generally clean because it goes through a rigorous ETL process to ensure its accuracy and reliability.