Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Chapter 10, Problem 10.27PAE
Consider the customer table created in Figure 10-24 and populated with data as shown in Figure 10-27 Write the Hive script that will display the age-groups that exist in the data set and their average incomes.
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Chapter 10 Solutions
Modern Database Management
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- Which database structure doesn't allow for a relationship between entities that has multiple nodes? The model's advantages and disadvantages are discussed.arrow_forwardHow do the table adapter and data source components interact?arrow_forwardConsider the star schemas from Figure 11.2. Suppose an analyst finds that monthly total sales (sum of the price values of all sales tuples) have decreased, instead of growing, from April 2018 to May 2018. The analyst wishes to check if there are specific item categories, stores, or customer countries that are responsible for the decrease. What are the aggregates that the analyst would start with, and what are the relevant drill-down operations that the analyst would need to execute? Write an SQL query that shows the item categories that were responsible for the decrease in sales, ordered by the impact of the category on the sales decrease, with categories that had the highest impact sorted first.arrow_forward
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- Explain the concept of data warehouse normalization and denormalization. When is it appropriate to use each approach, and what impact does it have on query performance?arrow_forwardConsider the E-R diagram in Figure 8.7 showing entity set instructor. Give an SQL schema definition corresponding to the E-R diagram, treating phone number as an array of 10 elements, using Oracle or PostgreSQL syntax.arrow_forwardDatabase Which query in this relational database (represented by relational diagram) will provide you with the list of the 3 most transported products by shipper DHL in January 2020? Select one: a. SELECT TOP(3) p.ProductName, COUNT(od.Quantity) FROM Products p INNER JOIN [Order Details] od ON p. ProductID = od. ProductiD INNER JOIN Orders o ON od.OrderID = o.OrderID WHERE o. ShipVia = 'DHL' AND .ShippedDate > '01-01-2020' AND o.ShippedDate < '31-01-2020' GROUP BY p.ProductID, o.ShipVia ORDER BY COUNT (od.Quantity) DESC b. SELECT TOP (3) p.ProductID, p.ProductName, SUM(od.Quantity) FROM Products p LEFT JOIN [Order Details] od ON p.ProductID = od.ProductiD LEFT JOIN Orders o ON od.OrderID = o.OrderID LEFT JOIN Shippers s ON o.ShipVia = s.ShipperID WHERE S.CompanyName LIKE 'DHL' AND MONTH(o.ShippedDate) = 1 AND YEAR (o.ShippedDate) = 2020 GROUP BY od.ProductiD, o.ShipAddress ORDER BY SUM(od.Quantity) ASC C SELECT TOP (3) p.ProductID, p.ProductName, COUNT(od.Quantity) FROM…arrow_forward
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