(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 Role in Data Warehousing
Data scrubbing is a crucial process in data management, particularly before data is loaded into a data warehouse.
Statement (A) Analysis
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.
- Data Scrubbing Purpose: Enhance data accuracy and consistency.
- Timing: Performed before data loading into the data warehouse.
- Result: Improved data quality.
Therefore, Statement (A) is true.
Statement (B) Analysis
Statement (B) defines data scrubbing as rejecting data from a data warehouse to create indexes. This is incorrect.
- Data scrubbing focuses on data improvement, not rejection from the warehouse.
- Rejecting data is typically part of data loading or governance rules, not the definition of scrubbing itself.
- Creating indexes is a separate database optimization task, unrelated to the core function of data scrubbing.
Therefore, Statement (B) is false.
Conclusion on Statements
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.
Important Questions from Data Warehousing and Data Mining
- Considering the following statements:
A. Data transformation is involved in Datamining process.
B. Online database is used in Data warehouse.
C. Classification is a measure of accuracy.
D. K-means clustering algorithm is based on the concept of minimizing the within-cluster variance.
E. Pattern evaluation is a process to identify knowledge based on interestingness measure.
Choose the correct answer from the options given below: An enormous collection of data on various topics from a variety of internal and external sources, compiled by a firm for its own use or for use by its clients, is called :
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: OLAP systems are optimized for complex queries and analysis.
Reason R: OLTP systems are designed for transactions processing with large read-only queries.
In the light of the above statements, choose the most appropriate answer from the options given below
- Consider the following two statements :
(A) Business intelligence and Data warehousing is used for forecasting and Data mining.
(B) Business intelligence and Data warehousing is used for analysis of large volumes of sales data.
Which one of the following options is correct ? - Given the following statements :
(A) Strategic value of data mining is timestamping.
(B) Information collection is an expensive process in building an expert system.
Which of the following options is correct ?
