Podcast
Questions and Answers
What is the main difference between OLTP and OLAP systems in terms of database design?
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?
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?
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?
What is the primary function of OLTP systems?
Which of the following is a characteristic of OLAP systems?
Which of the following is a characteristic of OLAP systems?
What is the main difference between OLTP and OLAP systems in terms of database size?
What is the main difference between OLTP and OLAP systems in terms of database size?
What is a data warehouse?
What is a data warehouse?
Which term describes the characteristic of a data warehouse that provides historical data for analysis?
Which term describes the characteristic of a data warehouse that provides historical data for analysis?
What is one of the primary purposes of a data warehouse?
What is one of the primary purposes of a data warehouse?
Which of the following is an example of a data warehousing tool?
Which of the following is an example of a data warehousing tool?
In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:
In a data warehouse, major subjects like customer, product, and sales are organized in a way that is:
What distinguishes a data warehouse from an operational database?
What distinguishes a data warehouse from an operational database?
Which of the following is NOT a type of OLAP server architecture?
Which of the following is NOT a type of OLAP server architecture?
What is the purpose of a virtual warehouse?
What is the purpose of a virtual warehouse?
Which of the following is a recommended step in data warehouse development?
Which of the following is a recommended step in data warehouse development?
What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?
What is the advantage of Relational OLAP (ROLAP) over Multidimensional OLAP (MOLAP)?
What is the purpose of a data mart?
What is the purpose of a data mart?
What is the difference between a data warehouse and a virtual warehouse?
What is the difference between a data warehouse and a virtual warehouse?
What is the goal of discovery-driven exploration of data cubes?
What is the goal of discovery-driven exploration of data cubes?
What is the purpose of using visual cues in data cube analysis?
What is the purpose of using visual cues in data cube analysis?
What do Exception indicators in data cubes signify?
What do Exception indicators in data cubes signify?
How does discovery-driven exploration differ from hypothesis-driven exploration?
How does discovery-driven exploration differ from hypothesis-driven exploration?
What is the primary focus of multi-feature cubes?
What is the primary focus of multi-feature cubes?
How are SelfExp, InExp, and PathExp values computed in data mining?
How are SelfExp, InExp, and PathExp values computed in data mining?
What kind of applications can a data warehouse support?
What kind of applications can a data warehouse support?
What does OLAP stand for in the context of data warehouses?
What does OLAP stand for in the context of data warehouses?
Which technology plays a role in transitioning from data warehousing to data mining?
Which technology plays a role in transitioning from data warehousing to data mining?
What kind of analysis is supported by data mining?
What kind of analysis is supported by data mining?
Which of the following is NOT part of a data warehouse architecture?
Which of the following is NOT part of a data warehouse architecture?
What is the main purpose of multidimensional analysis in data warehousing?
What is the main purpose of multidimensional analysis in data warehousing?
