Deck 7: Data Warehousing Concepts
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Deck 7: Data Warehousing Concepts
1
The operational data sources include the data warehouses and data marts.
False
2
Implicit changes of data warehouse requirements are permitted during:
A)Data warehouse use
B)Data warehouse deployment
C)Creating ETL infrastructure
D)Implicit changes of requirements are not permitted
A)Data warehouse use
B)Data warehouse deployment
C)Creating ETL infrastructure
D)Implicit changes of requirements are not permitted
D
3
Operational queries are typically issued:
A)More often than analytical queries
B)Less often than analytical queries
C)Equally as often as analytical queries
D)Never in a corporation that has users issuing analytical queries
A)More often than analytical queries
B)Less often than analytical queries
C)Equally as often as analytical queries
D)Never in a corporation that has users issuing analytical queries
A
4
The purpose of the source system is:
A)Original operational purpose only
B)As a source system for the data warehouse only
C)Both the original operational purpose and as a source system for the data warehouse
D)As a write-only source system
A)Original operational purpose only
B)As a source system for the data warehouse only
C)Both the original operational purpose and as a source system for the data warehouse
D)As a write-only source system
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5
Operational queries typically process:
A)Larger amounts of data than analytical queries
B)Smaller amounts of data than analytical queries
C)Equal amounts of data as analytical queries
D)Infinite amounts of data,incomparable to analytical queries
A)Larger amounts of data than analytical queries
B)Smaller amounts of data than analytical queries
C)Equal amounts of data as analytical queries
D)Infinite amounts of data,incomparable to analytical queries
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6
Data time-horizon is:
A)Typically longer in operational systems than in analytical systems
B)Typically equal in operational systems and in analytical systems
C)Typically shorter in operational systems than in analytical systems
D)Typically nonexistent in operational systems and in analytical systems
A)Typically longer in operational systems than in analytical systems
B)Typically equal in operational systems and in analytical systems
C)Typically shorter in operational systems than in analytical systems
D)Typically nonexistent in operational systems and in analytical systems
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7
Creating ETL infrastructure includes creating necessary procedures and code for:
A)Designing and creating applications for indirect use by the end users
B)The seamless load of the transformed data into the operational data bases
C)Automatic extraction of relevant data from the data warehouses
D)Transformation of the extracted data,so that its quality is assured and its structure conforms to the structure of the modeled and implemented data warehouse
A)Designing and creating applications for indirect use by the end users
B)The seamless load of the transformed data into the operational data bases
C)Automatic extraction of relevant data from the data warehouses
D)Transformation of the extracted data,so that its quality is assured and its structure conforms to the structure of the modeled and implemented data warehouse
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8
A data warehouse is created within an organization as a separate data store whose primary purpose is data analysis.
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9
It is always possible to structure a database that can be used in a straightforward manner for both operational and analytical purposes.
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10
The performance of operational day-to-day tasks involving data use can be severely diminished if such tasks have to compete for computing resources with analytical queries.
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11
Which of the following is NOT true:
A)Data marts typically have fewer data sources than data warehouses
B)Data marts typically have broader focus than data warehouses
C)Data marts are typically not as big as data warehouses
D)Data marts typically have shorter implementation time than data warehouses
A)Data marts typically have fewer data sources than data warehouses
B)Data marts typically have broader focus than data warehouses
C)Data marts are typically not as big as data warehouses
D)Data marts typically have shorter implementation time than data warehouses
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12
Data warehouse requirements can be refined and/or expanded following:
A)Data warehouse use
B)Data warehouse deployment
C)Creating ETL infrastructure
D)All of the above
A)Data warehouse use
B)Data warehouse deployment
C)Creating ETL infrastructure
D)All of the above
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13
Summarized operational data is typically physically stored,while summarized analytical data is typically derived (calculated)rather than physically stored.
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14
It is usually possible to configure the system to optimally process frequent queries requiring smaller amounts of data and to optimally process less frequent queries requesting large amounts of data at the same time.
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15
Increasing the speed of a single query is always a priority,even if it requires slowing down the majority of other queries.
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16
A typical organization maintains and utilizes a number of operational data sources.
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17
Keeping data in the operational system past its time horizon enables the operational queries to run faster.
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18
Operational data typically represents the current state of affairs in the real world,while analytical data can represent both the current situation and snapshots from the past.
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19
Which of the following is NOT a part of the data warehouse requirements step?
A)Requirements collection
B)Requirements definition
C)Conceptual modeling
D)Logical modeling
A)Requirements collection
B)Requirements definition
C)Conceptual modeling
D)Logical modeling
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20
Operational queries are typically issued:
A)By fewer users than analytical queries
B)By more users than analytical queries
C)By an equal number of users as analytical queries
D)By no users if the corporation has users issuing analytical queries
A)By fewer users than analytical queries
B)By more users than analytical queries
C)By an equal number of users as analytical queries
D)By no users if the corporation has users issuing analytical queries
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21
Explain the term retrieval of analytical information in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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22
Analytical databases are created for the analysis of one or more specific business subject areas,such as sales,returns,cost,or profit.
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23
Separate operational data sources cannot contain overlapping information.
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24
Explain the term structured repository in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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25
Explain the term integrated in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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26
Data marts are always implemented as relational databases.
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27
Analytical databases are referred to as application-oriented.
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28
Explain the term subject-oriented in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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29
Describe the data update difference between operational and analytical database systems.
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30
ETL infrastructure has to account for and reconcile all of the differences in the metadata and the data between the operational sources and the target data warehouses.
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31
A data mart is a data store based on the same principles as a data warehouse but with
a wider scope.
a wider scope.
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32
The design and creation of data warehouse front-end applications can take place in parallel with data warehouse creation.
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33
Describe the data redundancy difference between operational and analytical database systems.
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34
Show an example data set organized in two different ways illustrating the difference between the application-oriented and subject-oriented organization of data.
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35
Explain the term enterprise-wide in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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36
In contrast to a narrow constituency of operational data,analytical data is used by a widespread set of users.
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37
Explain the term time-variant in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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38
Data warehouse front-end applications are often referred to as business intelligence (BI)applications.
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39
Operational databases are referred to as subject-oriented.
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40
Explain the term historical in the following data warehouse definition:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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41
Show a diagram that illustrates the principal activities in the process of the development of the data warehouse.
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42
List the three major components of every data warehousing system.
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43
What is an independent data mart?
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44
What is a dependent data mart?
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45
Explain the term detailed and/or summarized data in the following data warehouse definition,and elaborate on the reasons for storing detailed and aggregated data in the data warehouse:
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
The data warehouse is a structured repository of integrated,subject-oriented,enterprise-wide,historical,and time-variant data.The purpose of the data warehouse is the retrieval of analytical information.A data warehouse can store detailed and/or summarized data.
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46
Describe the data warehouse deployment step.
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47
What is the difference between a typical (regular)data warehouse and an active data warehouse?
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48
What is the difference between developing the initial and subsequent versions of the data warehouse?
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