Relational Online Analytical Processing (ROLAP): Relational OLAP is a type of OLAP tool is suggested to use for Mountain View Community Hospital (MVCH). This is because, it is very flexible to query and analyze the data using ROLAP. It helps to view the data of MVCH in a high-level view by providing only the necessary details and isolating the unnecessary details. The required details only are viewed by using various operations present in ROLAP. Multidimensional Online Analytical Processing (MOLAP): Multidimensional OLAP is an OLAP tool that manages data related to multidimensional data model. It supports both hardware components and software components. It includes operations like slicing, dicing and many such. It has the ability to execute the complex data in less time.

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Consider that you are developing a project where people would choose to test themselves to go without using a computer for a fixed period of time. Describe how you would set up the project and why. What period of time would you set up? Why? Who would you recruit to participate? Why? What would you define as a computer or off limits? Why? Which of the following would be acceptable?Smartphones Having someone else use the computer for you? reading printouts? Using GPS?

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Chapter 13, Problem 13RQ

Program Plan Intro

Relational Online Analytical Processing (ROLAP):

Relational OLAP is a type of OLAP tool is suggested to use for Mountain View Community Hospital (MVCH).

This is because, it is very flexible to query and analyze the data using ROLAP.

It helps to view the data of MVCH in a high-level view by providing only the necessary details and isolating the unnecessary details.

The required details only are viewed by using various operations present in ROLAP.

Multidimensional Online Analytical Processing (MOLAP):

Multidimensional OLAP is an OLAP tool that manages data related to multidimensional data model. It supports both hardware components and software components. It includes operations like slicing, dicing and many such. It has the ability to execute the complex data in less time.

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