Data Warehousing and OLAP Technology Quiz
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Questions and Answers

What is the main difference between OLTP and OLAP systems in terms of database design?

  • OLTP systems use historical and summarized data while OLAP systems use current and detailed data
  • OLTP systems have larger database sizes compared to OLAP systems
  • OLTP systems are designed for complex queries while OLAP systems are designed for simple transactions
  • OLTP systems are application-oriented while OLAP systems are subject-oriented (correct)

    • Which of the following is a key characteristic of OLAP systems?

  • Isolated, repetitive access patterns
  • Integrated, consolidated historical data (correct)
  • Detailed, flat relational data
  • High transaction throughput

    • Why is it important to separate the data warehouse from the OLTP system?

  • To improve the performance of both systems (correct)
  • To reduce the database size of the OLTP system
  • To allow for more complex queries in the OLTP system
  • To enable more efficient concurrency control in the OLAP system

    • What is the primary function of OLTP systems?

    <p>Day-to-day operations</p> Signup and view all the answers

    Which of the following is a characteristic of OLAP systems?

    <p>Integrated, consolidated historical data</p> Signup and view all the answers

    What is the main difference between OLTP and OLAP systems in terms of database size?

    <p>OLAP systems have larger database sizes compared to OLTP systems</p> Signup and view all the answers

    What is a data warehouse?

    <p>A decision support database separate from the operational database</p> Signup and view all the answers

    Which term describes the characteristic of a data warehouse that provides historical data for analysis?

    <p>Time-variant</p> Signup and view all the answers

    What is one of the primary purposes of a data warehouse?

    <p>Supporting management's decision-making process</p> Signup and view all the answers

    Which of the following is an example of a data warehousing tool?

    <p>Google BigQuery</p> Signup and view all the answers

    In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:

    <p>Subject-oriented</p> Signup and view all the answers

    What distinguishes a data warehouse from an operational database?

    <p>Operational databases are not used for decision support.</p> Signup and view all the answers

    Which of the following is NOT a type of OLAP server architecture?

    <p>Transactional OLAP (TOLAP)</p> Signup and view all the answers

    What is the purpose of a virtual warehouse?

    <p>To provide a set of views over operational databases without physically storing the data</p> Signup and view all the answers

    Which of the following is a recommended step in data warehouse development?

    <p>All of the above</p> Signup and view all the answers

    What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?

    <p>ROLAP provides greater scalability</p> Signup and view all the answers

    What is the purpose of a data mart?

    <p>To store a subset of the data from a central data warehouse</p> Signup and view all the answers

    What is the difference between a data warehouse and a virtual warehouse?

    <p>A data warehouse stores data from multiple operational databases, while a virtual warehouse does not store any data</p> Signup and view all the answers

    What is the goal of discovery-driven exploration of data cubes?

    <p>To guide users through data analysis based on exceptions</p> Signup and view all the answers

    What is the purpose of using visual cues in data cube analysis?

    <p>To indicate exceptions and their degree in the data</p> Signup and view all the answers

    What do Exception indicators in data cubes signify?

    <p>Values significantly different from expected based on a model</p> Signup and view all the answers

    How does discovery-driven exploration differ from hypothesis-driven exploration?

    <p>It guides users based on exceptions found in the data</p> Signup and view all the answers

    What is the primary focus of multi-feature cubes?

    <p>Complex queries involving multiple dependent aggregates at multiple granularities</p> Signup and view all the answers

    How are SelfExp, InExp, and PathExp values computed in data mining?

    <p>They are automatically calculated during cube construction</p> Signup and view all the answers

    What kind of applications can a data warehouse support?

    <p>Multidimensional analysis, basic statistical analysis, visualization tools</p> Signup and view all the answers

    What does OLAP stand for in the context of data warehouses?

    <p>Online Analytical Processing</p> Signup and view all the answers

    Which technology plays a role in transitioning from data warehousing to data mining?

    <p>Data cube technology</p> Signup and view all the answers

    What kind of analysis is supported by data mining?

    <p>Construction of analytical models</p> Signup and view all the answers

    Which of the following is NOT part of a data warehouse architecture?

    <p>Data cleaning</p> Signup and view all the answers

    What is the main purpose of multidimensional analysis in data warehousing?

    <p>To support knowledge discovery from hidden patterns</p> Signup and view all the answers

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