7 Questions
What is a Data Warehouse?
A database designed for query and analysis
What type of data is included in a Data Warehouse?
Historical data
What is the focus of a Data Warehouse?
Providing support for decision-makers
What type of store is a Data Warehouse?
Time-variant
What is the primary purpose of a Data Warehouse?
Decision-making
Who is a Data Warehouse specific to?
The entire organization
What types of data sources can a Data Warehouse integrate?
All of the above
Study Notes
- A Data Warehouse is a relational database designed for query and analysis, not transaction processing.
- It includes historical data derived from transaction data from single and multiple sources.
- A Data Warehouse provides integrated, enterprise-wide, historical data and focuses on providing support for decision-makers for data modeling and analysis.
- It is a subject-oriented, integrated, and time-variant store of information in support of management's decisions.
- A Data Warehouse is not used for daily operations and transaction processing but used for making decisions.
- It is a group of data specific to the entire organization, not only to a particular group of users.
- A data warehouse integrates various heterogeneous data sources like RDBMS, flat files, and online transaction records.
- Historical information is kept in a data warehouse.
- The data warehouse is a physically separate data storage, which is transformed from the source operational RDBMS.
- Data Warehouse is needed for decision-making requests and to enable executives, managers, and analysts to make superior and higher decisions.
Take our quiz and test your knowledge of data warehousing! Learn the basics of what a data warehouse is, its purpose, and how it differs from a transactional database. Discover how data is sourced and integrated, and why historical data is so important for decision-making. This quiz is perfect for anyone looking to enhance their understanding of data warehousing, whether you're a beginner or an experienced professional. Keywords: data warehouse, relational database, historical data, decision-making, heterogeneous data sources.
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