(A) Data scrubling is a process to upgrade the quality of data, before it is moved into Data warehouse.
(B) Data scrubling is a process of rejecting data from data warehouse to create indexes.
Which one of the following options is correct ?
Data scrubbing is a crucial process in data management, particularly before data is loaded into a data warehouse.
Statement (A) claims that data scrubbing upgrades the quality of data before it moves into a data warehouse. This is accurate. Data scrubbing involves identifying and correcting errors, inconsistencies, and inaccuracies in data. Its primary goal is to ensure the data is clean, complete, and reliable, thereby improving its overall quality. This preparation step is essential for effective data warehousing.
Therefore, Statement (A) is true.
Statement (B) defines data scrubbing as rejecting data from a data warehouse to create indexes. This is incorrect.
Therefore, Statement (B) is false.
Based on the analysis, Statement (A) is true, and Statement (B) is false. This corresponds to the option where (A) is true and (B) is false.
In a DFD, external entities are represented by a
Which of the following terms best describes Git?
A company stores products in a warehouse. Storage bins in this warehouse are specified by their aisle, location in the aisle, and self. There are 50 aisles, 85 horizontal locations in each aisle, and 5 shelves throughout the warehouse. What is the least number of products the company can have so that at least two products must be stored in the same bin?
Data warehouse contains ______ data that is never found in operational environment.
Data Scrubbing is