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Basic Measures - Explicit vs Implicit Measures Implicit measures are created automatically when we drag a column of values into a visual. Explicit measures are created manually and define how the column should be summarized. What are the advantages of using explicit measures in pivot tables? Select ALL that apply. Because we can define the formatting of explicit measures, and maintain consistent presentation when the measures are used in different visuals. You have greater control over the outcome, which is even more important when handing over the model to another user. Because it's nice to have a complete list of measures. To ensure that you always know what aggregation is being done. Because implicit functions don't get saved when you remove them from a visual. -os-3.png ✔ Fullscreen The Date Dimension & Time Intelligence A combination of a date dimension table and time intelligence functions can help us create powerful comparisons across time periods. What actions do you need to take when working with dates, to ensure your calculations work correctly? Select ALL that apply. Review Late Dates in a date dimension table must be consecutive. Time Intelligence functions must reference the date column in the fact table, not the date dimension. The date dimension table must be cover a period of at least three years. The date dimension table must be marked as a date table in Power Pivot. Time Intelligence functions must reference the date column in the date dimension, not the fact table. X Rev

Basic Measures - Explicit vs Implicit Measures Implicit measures are created automatically when we drag a column of values into a visual. Explicit measures are created manually and define how the column should be summarized. What are the advantages of using explicit measures in pivot tables? Select ALL that apply. Because we can define the formatting of explicit measures, and maintain consistent presentation when the measures are used in different visuals. You have greater control over the outcome, which is even more important when handing over the model to another user. Because it's nice to have a complete list of measures. To ensure that you always know what aggregation is being done. Because implicit functions don't get saved when you remove them from a visual. -os-3.png ✔ Fullscreen The Date Dimension & Time Intelligence A combination of a date dimension table and time intelligence functions can help us create powerful comparisons across time periods. What actions do you need to take when working with dates, to ensure your calculations work correctly? Select ALL that apply. Review Late Dates in a date dimension table must be consecutive. Time Intelligence functions must reference the date column in the fact table, not the date dimension. The date dimension table must be cover a period of at least three years. The date dimension table must be marked as a date table in Power Pivot. Time Intelligence functions must reference the date column in the date dimension, not the fact table. X Rev

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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1 Basic Measures - Explicit vs Implicit Measures 3 Implicit measures are created automatically when we drag a column of values into a visual. Explicit measures are created manually and define how the column should be summarized. What are the advantages of using explicit measures in pivot tables? Select ALL that apply. Because we can define the formatting of explicit measures, and maintain consistent presentation when the measures are used in different visuals. You have greater control over the outcome, which is even more important when handing over the model to another user. Because it's nice to have a complete list of measures. To ensure that you always know what aggregation is being done. Because implicit functions don't get saved when you remove them from a visual. Photos - 3.png Fullscreen The Date Dimension & Time Intelligence A combination of a date dimension table and time intelligence functions can help us create powerful comparisons across time periods. What actions do you need to take when working with dates, to ensure your calculations work correctly? Select ALL that apply. Dates in a date dimension table must be consecutive. Review Later Time Intelligence functions must reference the date column in the fact table, not the date dimension. The date dimension table must be cover a period of at least three years. The date dimension table must be marked as a date table in Power Pivot. Time Intelligence functions must reference the date column in the date dimension, not the fact table. Revie
Transcribed Image Text:1 Basic Measures - Explicit vs Implicit Measures 3 Implicit measures are created automatically when we drag a column of values into a visual. Explicit measures are created manually and define how the column should be summarized. What are the advantages of using explicit measures in pivot tables? Select ALL that apply. Because we can define the formatting of explicit measures, and maintain consistent presentation when the measures are used in different visuals. You have greater control over the outcome, which is even more important when handing over the model to another user. Because it's nice to have a complete list of measures. To ensure that you always know what aggregation is being done. Because implicit functions don't get saved when you remove them from a visual. Photos - 3.png Fullscreen The Date Dimension & Time Intelligence A combination of a date dimension table and time intelligence functions can help us create powerful comparisons across time periods. What actions do you need to take when working with dates, to ensure your calculations work correctly? Select ALL that apply. Dates in a date dimension table must be consecutive. Review Later Time Intelligence functions must reference the date column in the fact table, not the date dimension. The date dimension table must be cover a period of at least three years. The date dimension table must be marked as a date table in Power Pivot. Time Intelligence functions must reference the date column in the date dimension, not the fact table. Revie
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