Data warehouse architecture is based on ______________.Question 18Answera.DBMSb.SQL Serverc.Sybase.d.RDBMS
Question
Data warehouse architecture is based on ______________.
Question 18
Answer
- a. DBMS
- b. SQL Server
- c. Sybase
- d. RDBMS
Solution
Understanding Data Warehouse Architecture
Data warehouse architecture is fundamentally structured to enable efficient storage, retrieval, and management of large volumes of data for analysis and reporting. This involves specialized database management systems that are designed to handle analytical queries.
Analyzing Options
- DBMS (Database Management System): While data warehouses use DBMS, not all DBMS are designed for data warehousing purposes.
- SQL Server: This is a specific relational database management system developed by Microsoft, not a general representation of data warehouse architecture.
- Sybase: Similar to SQL Server, this is also a specific brand of database management software.
- RDBMS (Relational Database Management System): This is a category of database management systems that is based on the relational model introduced by E.F. Codd. Data warehouses often utilize RDBMS due to their ability to manage and analyze data in a structured way.
Conclusion
Considering the definitions and applications of each option, the most appropriate choice that describes the fundamental architecture of a data warehouse is d. RDBMS.
Final Answer
d. RDBMS
Similar Questions
__________describes the data contained in the data warehouse.Question 15Answera.Relational datab.Metadata.c.Operational datad.Informational data.
2. Identify the options below that a data warehouse can include.a) Database tablesb) Online datac) Flat filesd) All of the above
What is a data warehouse primarily used for?a. Storing transactional datab. Storing processed data for analysisc. Storing real-time datad. Storing metadata
____________ is anything about which data are to be collected and stored.a.Data storageb.Entityc.Attributed.Data warehouse
It specially designed for a particular line of businessa.Enterprise Data Warehouseb.Operational Data Storec.Data Martd.Data Lake
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