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Questions and Answers
What is the purpose of normalization in a relational database?
What is the purpose of normalization in a relational database?
- To maximize data redundancy and dependency
- To slow down data retrieval
- To minimize data redundancy and dependency (correct)
- To complicate data storage
What does OLAP stand for in the context of databases?
What does OLAP stand for in the context of databases?
- Online Analytical Processing (correct)
- Online Transactional Processing
- Offline Analytical Processing
- Offline Transactional Processing
What is the purpose of a primary index in database systems?
What is the purpose of a primary index in database systems?
- To speed up data retrieval from the file
- To uniquely identify each record in the file (correct)
- To link records from different tables
- To sort the records in the file
What is the main difference between clustered and secondary indexing?
What is the main difference between clustered and secondary indexing?
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What is the purpose of the Relational Algebra operation 'Project'?
What is the purpose of the Relational Algebra operation 'Project'?
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Study Notes
Database Concepts
- Normalization in a relational database ensures that each piece of data is stored in one place and one place only, minimizing data redundancy and improving data integrity.
- OLAP stands for Online Analytical Processing, a technology that enables fast and efficient analysis of data for business decisions.
- A primary index in database systems is used to speed up queries by providing a quick way to locate specific data, and it is automatically created by the database management system when a primary key is defined.
- The main difference between clustered and secondary indexing is that a clustered index reorders the physical records of the table according to the indexed column, whereas a secondary index does not alter the physical order of the records, it only maintains a separate data structure to speed up queries.
- The purpose of the Relational Algebra operation 'Project' is to select specific columns from a relation, similar to the SQL SELECT clause, and it is used to simplify relations by removing unwanted attributes.
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