In the transformation stage of a traditional extract-transform-load (ETL) pipeline for a data warehouse, data scrubbing is:
A process to upgrade the quality of data before it is moved into a data warehouse
During the transformation stage of a traditional extract-transform-load pipeline, data scrubbing detects and corrects errors, duplicates and inconsistent formats before the data is loaded into the warehouse. Its purpose is to improve data quality.
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 ? - Consider the following two statements :
(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 ?
