Questions: Which tool enables users to view the same data in different ways using multiple dimensions? A. SQL B. OLTP C. Hadoop D. OLAP E. Clustering

Which tool enables users to view the same data in different ways using multiple dimensions? A. SQL B. OLTP C. Hadoop D. OLAP E. Clustering
Transcript text: Which tool enables users to view the same data in different ways using multiple dimensions? A. SQL B. OLTP C. Hadoop D. OLAP E. Clustering
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Solution

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The answer is D: OLAP.

Explanation for each option: A. SQL: SQL (Structured Query Language) is used for managing and manipulating relational databases. While it can query data, it does not inherently provide multidimensional views of data.

B. OLTP: OLTP (Online Transaction Processing) systems are designed to manage transaction-oriented applications. They are optimized for fast query processing and maintaining data integrity in multi-access environments, but they do not provide multidimensional data views.

C. Hadoop: Hadoop is a framework for distributed storage and processing of large data sets using the MapReduce programming model. It is not specifically designed for multidimensional data analysis.

D. OLAP: OLAP (Online Analytical Processing) is a category of software tools that provides analysis of data stored in a database. OLAP tools enable users to view data in multiple dimensions, making it possible to perform complex calculations, trend analysis, and data modeling.

E. Clustering: Clustering is a data mining technique used to group sets of objects in such a way that objects in the same group are more similar to each other than to those in other groups. It does not inherently provide multidimensional views of data.

Summary: OLAP (Online Analytical Processing) is the tool that enables users to view the same data in different ways using multiple dimensions.

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