Quality assurance application focuses on improving the software development process and making it efficient and effective as per quality standards.
OLAP applies complex queries to large amounts of historical data, aggregated from OLTP databases and other sources, for data mining, analytics, and business intelligence projects.
Moreover, the purpose of OLAP ----> Plan, solve problems, support decisions, discover hidden insights.
According to the question, the application is reading data from the data warehouse for quality assurance which is clearly - discovering insights from the data. Thus, the answer is OLAP.
The quality assurance application that reads data from a data warehouse typically uses Online Analytical Processing (OLAP) because it involves querying and analyzing historical data for reporting and analysis purposes. OLAP is optimized for complex queries and aggregations on large volumes of data, making it suitable for tasks like data analysis and business intelligence, which align with quality assurance activities. So, the correct answer is:
C. Online Analytical Processing (OLAP)
OLAP processing is specifically designed for analytical operations on large volumes of data. It involves performing complex queries, aggregations, and calculations on the data to gain insights and make informed decisions. In the context of a quality assurance application, OLAP processing allows for the analysis of data from the data warehouse to identify patterns, trends, and anomalies, and to generate reports and visualizations for quality assessment and improvement purposes.
The quality assurance application that reads data from a data warehouse likely uses online analytical processing (OLAP).
Online analytical processing (OLAP) is a category of software tools that enables users to analyze data from multiple dimensions and levels of detail. This type of processing is typically used for business intelligence, data mining, and reporting applications. The data is typically stored in a data warehouse or a multidimensional database, and the OLAP system allows users to perform complex queries and calculations on the data to generate insights and reports.
Wouldn't it be OLAP since it needs to do analysis which is part of OLAP? Even shown in the diagram.
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/online-analytical-processing
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