Deck 3: Descriptive Analytics II: Business Intelligence and Data Warehousing
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Deck 3: Descriptive Analytics II: Business Intelligence and Data Warehousing
1
Organizations seldom devote a lot of effort to creating metadata because it is not important for the effective use of data warehouses.
False
2
Moving the data into a data warehouse is usually the easiest part of its creation.
False
3
User-initiated navigation of data through disaggregation is referred to as "drill up."
False
4
Properly integrating data from various databases and other disparate sources is a trivial process.
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5
With key performance indicators,driver KPIs have a significant effect on outcome KPIs,but the reverse is not necessarily true.
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6
Because of performance and data quality issues,most experts agree that the federated architecture should supplement data warehouses,not replace them.
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7
Without middleware,different BI programs cannot easily connect to the data warehouse.
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8
Subject oriented databases for data warehousing are organized by detailed subjects such as disk drives,computers,and networks.
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9
The BPM development cycle is essentially a one-shot process where the requirement is to get it right the first time.
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10
Because the recession has raised interest in low-cost open source software,it is now set to replace traditional enterprise software.
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11
One way an operational data store differs from a data warehouse is the recency of their data.
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12
With the balanced scorecard approach,the entire focus is on measuring and managing specific financial goals based on the organization's strategy.
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13
Bill Inmon advocates the data mart bus architecture whereas Ralph Kimball promotes the hub-and-spoke architecture,a data mart bus architecture with conformed dimensions.
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14
OLTP systems are designed to handle ad hoc analysis and complex queries that deal with many data items.
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15
The data warehousing maturity model consists of six stages: prenatal,infant,child,teenager,adult,and sage.
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16
The hub-and-spoke data warehouse model uses a centralized warehouse feeding dependent data marts.
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17
Data warehouse administrators (DWAs)do not need strong business insight since they only handle the technical aspect of the infrastructure.
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18
Data warehouses are subsets of data marts.
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19
Two-tier data warehouse/BI infrastructures offer organizations more flexibility but cost more than three-tier ones.
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20
The "islands of data" problem in the 1980s describes the phenomenon of unconnected data being stored in numerous locations within an organization.
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21
When querying a dimensional database,a user went from summarized data to its underlying details.The function that served this purpose is
A)dice.
B)slice.
C)roll-up.
D)drill down.
A)dice.
B)slice.
C)roll-up.
D)drill down.
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22
How does the use of cloud computing affect the scalability of a data warehouse?
A)Cloud computing vendors bring as much hardware as needed to users' offices.
B)Hardware resources are dynamically allocated as use increases.
C)Cloud vendors are mostly based overseas where the cost of labor is low.
D)Cloud computing has little effect on a data warehouse's scalability.
A)Cloud computing vendors bring as much hardware as needed to users' offices.
B)Hardware resources are dynamically allocated as use increases.
C)Cloud vendors are mostly based overseas where the cost of labor is low.
D)Cloud computing has little effect on a data warehouse's scalability.
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23
Why is a performance management system superior to a performance measurement system?
A)because performance measurement systems are only in their infancy
B)because measurement automatically leads to problem solution
C)because performance management systems cost more
D)because measurement alone has little use without action
A)because performance measurement systems are only in their infancy
B)because measurement automatically leads to problem solution
C)because performance management systems cost more
D)because measurement alone has little use without action
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24
When representing data in a data warehouse,using several dimension tables that are each connected only to a fact table means you are using which warehouse structure?
A)star schema
B)snowflake schema
C)relational schema
D)dimensional schema
A)star schema
B)snowflake schema
C)relational schema
D)dimensional schema
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25
Which kind of data warehouse is created separately from the enterprise data warehouse by a department and not reliant on it for updates?
A)sectional data mart
B)public data mart
C)independent data mart
D)volatile data mart
A)sectional data mart
B)public data mart
C)independent data mart
D)volatile data mart
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26
All of the following are true about in-database processing technology EXCEPT
A)it pushes the algorithms to where the data is.
B)it makes the response to queries much faster than conventional databases.
C)it is often used for apps like credit card fraud detection and investment risk management.
D)it is the same as in-memory storage technology.
A)it pushes the algorithms to where the data is.
B)it makes the response to queries much faster than conventional databases.
C)it is often used for apps like credit card fraud detection and investment risk management.
D)it is the same as in-memory storage technology.
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27
A Web client that connects to a Web server,which is in turn connected to a BI application server,is reflective of a
A)one-tier architecture.
B)two-tier architecture.
C)three-tier architecture.
D)four-tier architecture.
A)one-tier architecture.
B)two-tier architecture.
C)three-tier architecture.
D)four-tier architecture.
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28
Oper marts are created when operational data needs to be analyzed
A)linearly.
B)in a dashboard.
C)unidimensionally.
D)multidimensionally.
A)linearly.
B)in a dashboard.
C)unidimensionally.
D)multidimensionally.
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29
Which data warehouse architecture uses metadata from existing data warehouses to create a hybrid logical data warehouse comprised of data from the other warehouses?
A)independent data marts architecture
B)centralized data warehouse architecture
C)hub-and-spoke data warehouse architecture
D)federated architecture
A)independent data marts architecture
B)centralized data warehouse architecture
C)hub-and-spoke data warehouse architecture
D)federated architecture
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30
Real-time data warehousing can be used to support the highest level of decision making sophistication and power.The major feature that enables this in relation to handling the data is
A)country of (data)origin.
B)nature of the data.
C)speed of data transfer.
D)source of the data.
A)country of (data)origin.
B)nature of the data.
C)speed of data transfer.
D)source of the data.
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31
Operational or transaction databases are product oriented,handling transactions that update the database.In contrast,data warehouses are
A)subject-oriented and nonvolatile.
B)product-oriented and nonvolatile.
C)product-oriented and volatile.
D)subject-oriented and volatile.
A)subject-oriented and nonvolatile.
B)product-oriented and nonvolatile.
C)product-oriented and volatile.
D)subject-oriented and volatile.
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32
In which stage of extraction,transformation,and load (ETL)into a data warehouse are anomalies detected and corrected?
A)transformation
B)extraction
C)load
D)cleanse
A)transformation
B)extraction
C)load
D)cleanse
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33
Which of the following BEST enables a data warehouse to handle complex queries and scale up to handle many more requests?
A)use of the Web by users as a front-end
B)parallel processing
C)Microsoft Windows
D)a larger IT staff
A)use of the Web by users as a front-end
B)parallel processing
C)Microsoft Windows
D)a larger IT staff
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34
________ is an evolving tool space that promises real-time data integration from a variety of sources,such as relational databases,Web services,and multidimensional databases.
A)Enterprise information integration (EII)
B)Enterprise application integration (EAI)
C)Extraction,transformation,and load (ETL)
D)None of these
A)Enterprise information integration (EII)
B)Enterprise application integration (EAI)
C)Extraction,transformation,and load (ETL)
D)None of these
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35
Which approach to data warehouse integration focuses more on sharing process functionality than data across systems?
A)extraction,transformation,and load
B)enterprise application integration
C)enterprise information integration
D)enterprise function integration
A)extraction,transformation,and load
B)enterprise application integration
C)enterprise information integration
D)enterprise function integration
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36
Data warehouses provide direct and indirect benefits to organizations.Which of the following is an indirect benefit of data warehouses?
A)better and more timely information
B)extensive new analyses performed by users
C)simplified access to data
D)improved customer service
A)better and more timely information
B)extensive new analyses performed by users
C)simplified access to data
D)improved customer service
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37
Which data warehouse architecture uses a normalized relational warehouse that feeds multiple data marts?
A)independent data marts architecture
B)centralized data warehouse architecture
C)hub-and-spoke data warehouse architecture
D)federated architecture
A)independent data marts architecture
B)centralized data warehouse architecture
C)hub-and-spoke data warehouse architecture
D)federated architecture
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38
What is Six Sigma?
A)a letter in the Greek alphabet that statisticians use to measure process variability
B)a methodology aimed at reducing the number of defects in a business process
C)a methodology aimed at reducing the amount of variability in a business process
D)a methodology aimed at measuring the amount of variability in a business process
A)a letter in the Greek alphabet that statisticians use to measure process variability
B)a methodology aimed at reducing the number of defects in a business process
C)a methodology aimed at reducing the amount of variability in a business process
D)a methodology aimed at measuring the amount of variability in a business process
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39
All of the following are benefits of hosted data warehouses EXCEPT
A)smaller upfront investment.
B)better quality hardware.
C)greater control of data.
D)frees up in-house systems.
A)smaller upfront investment.
B)better quality hardware.
C)greater control of data.
D)frees up in-house systems.
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40
A large storage location that can hold vast quantities of data (mostly unstructured)in its native/raw format for future/potential analytics consumption is referred to as a(n)
A)extended ASP.
B)data cloud.
C)data lake.
D)relational database.
A)extended ASP.
B)data cloud.
C)data lake.
D)relational database.
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41
The three main types of data warehouses are data marts,operational ________,and enterprise data warehouses.
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42
________ is a mechanism that integrates application functionality and shares functionality (rather than data)across systems,thereby enabling flexibility and reuse.
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43
________ is a mechanism for pulling data from source systems to satisfy a request for information.It is an evolving tool space that promises real-time data integration from a variety of sources,such as relational databases,Web services,and multidimensional databases.
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44
Data ________ comprises data access,data federation,and change capture.
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45
A(n)________ architecture is used to build a scalable and maintainable infrastructure that includes a centralized data warehouse and several dependent data marts.
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46
Most data warehouses are built using ________ database management systems to control and manage the data.
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47
The ________ Model,also known as the EDW approach,emphasizes top-down development,employing established database development methodologies and tools,such as entity-relationship diagrams (ERD),and an adjustment of the spiral development approach.
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48
Online ________ is a term used for a transaction system that is primarily responsible for capturing and storing data related to day-to-day business functions such as ERP,CRM,SCM,and point of sale.
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49
In ________ oriented data warehousing,operational databases are tuned to handle transactions that update the database.
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50
The ________ Model,also known as the data mart approach,is a "plan big,build small" approach.A data mart is a subject-oriented or department-oriented data warehouse.It is a scaled-down version of a data warehouse that focuses on the requests of a specific department,such as marketing or sales.
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51
A(n)________ data store (ODS)provides a fairly recent form of customer information file.
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52
Given that the size of data warehouses is expanding at an exponential rate,________ is an important issue.
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53
A(n)________ data mart is a subset that is created directly from the data warehouse..
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54
The role responsible for successful administration and management of a data warehouse is the ________,who should be familiar with high-performance software,hardware,and networking technologies,and also possesses solid business insight.
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55
________ (also called in-database analytics)refers to the integration of the algorithmic extent of data analytics into data warehouse.
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56
________,or "The Extended ASP Model," is a creative way of deploying information system applications where the provider licenses its applications to customers for use as a service on demand (usually over the Internet).
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57
Performing extensive ________ to move data to the data warehouse may be a sign of poorly managed data and a fundamental lack of a coherent data management strategy.
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58
________ modeling is a retrieval-based system that supports high-volume query access.
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59
The ________ data warehouse architecture involves integrating disparate systems and analytical resources from multiple sources to meet changing needs or business conditions.
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60
________ describe the structure and meaning of the data,contributing to their effective use.
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61
A common way of introducing data warehousing is to refer to its fundamental characteristics.Describe three characteristics of data warehousing.
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62
Mehra (2005)indicated that few organizations really understand metadata,and fewer understand how to design and implement a metadata strategy.How would you describe metadata?
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63
What are the four processes that define a closed-loop BPM cycle?
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64
What is the definition of a data warehouse (DW)in simple terms?
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65
Mention briefly some of the recently popularized concepts and technologies that will play a significant role in defining the future of data warehousing.
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66
There are several basic information system architectures that can be used for data warehousing.What are they?
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67
Six Sigma rests on a simple performance improvement model known as DMAIC.What are the steps involved?
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68
More data,coming in faster and requiring immediate conversion into decisions,means that organizations are confronting the need for real-time data warehousing (RDW).How would you define real-time data warehousing?
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69
What is the definition of a data mart?
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70
Briefly describe four major components of the data warehousing process.
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