Exam 13: Business Intelligence and Data Warehouses
Exam 1: Database Systems72 Questions
Exam 2: Data Models75 Questions
Exam 3: The Relational Database Model74 Questions
Exam 4: Entity Relationship Ermodeling75 Questions
Exam 5: Advanced Data Modeling83 Questions
Exam 6: Normalization of Database Tables92 Questions
Exam 7: Introduction to Structured Query Language SQL92 Questions
Exam 8: Advanced SQL95 Questions
Exam 9: Database Design87 Questions
Exam 10: Transaction Management and Concurrency Control76 Questions
Exam 11: Database Performance Tuning and Query Optimization82 Questions
Exam 12: Distributed Database Management Systems72 Questions
Exam 13: Business Intelligence and Data Warehouses75 Questions
Exam 14: Big Data Analytics and NoSQL76 Questions
Exam 15: Database Connectivity and Web Technologies81 Questions
Exam 16: Database Administration and Security81 Questions
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Operational data are commonly stored in many tables,and the stored data represent information about a given only.
(Multiple Choice)
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From a data analyst's point of view,decision support data differ from operational data in three main areas: time span,granularity,and .
(Multiple Choice)
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The schema must support complex (non-normalized)data representations.
(Multiple Choice)
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The basic star schema has four components: facts,,attributes,and attribute hierarchies.
(Multiple Choice)
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To provide better performance,some OLAP systems merge data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.
(True/False)
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What is data visualization? Name different techniques of data visualization.
(Essay)
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The data warehouse development life cycle differs from classical systems development.
(True/False)
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is a term used to describe a comprehensive,cohesive,and integrated set of tools and processes used to capture,collect,integrate,store,and analyze data with the purpose of generating and presenting information used to support business decision making.
(Short Answer)
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Normalizing fact tables improves data access performance and saves data storage space.
(True/False)
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In business intelligence framework,data are captured from a production system and placed in the____ on a near real- time basis.
(Multiple Choice)
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A multidimensional database management systems (MDBMS)uses proprietary techniques to store data in n-dimensional arrays.
(Multiple Choice)
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_____ are quantifiable measurements (numeric or scale based)that assess a company's effectiveness or success in reaching its strategic and operational goals.
(Essay)
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Computed or derived facts,at run time,are sometimes called to differentiate them from stored facts.
(Multiple Choice)
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Decision support data tend to be non-normalized,,and pre-aggregated.
(Multiple Choice)
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_____ online analytical processing provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data.
(Short Answer)
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The attribute hierarchy provides a top-down data organization that is used for two main purposes:_____ and drill-down/roll-up data analysis.
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To support a(n)_____ adequately,the DBMS might be required to support advanced storage technologies,and even more importantly,to support multiple-processor technologies,such as a symmetric multiprocessor (SMP)or a massively parallel processor (MPP).
(Essay)
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Multidimensional data analysis techniques include advanced computational functions.
(True/False)
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What is the difference between decision support data and operational data from the point of view of data analyst?
(Essay)
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A(n)_____ is a read-only database optimized for data analysis and query processing.
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