Deductive Databases Presentation
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Deductive databases allow for more complex queries of data through the use of Datalog, an extension of SQL that allows for recursion. Deductive databases combine traditional databases with logical rules to make inferences from the data. This allows applications to have more intelligent capabilities by reasoning over the stored data. The presentation provides an overview of deductive databases and how they can power applications through the use of logical rules and reasoning over the stored data.
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- The network model extends the hierarchical model by allowing nodes to have more than one parent, representing complex relationships. However, it is more complex to implement and manage.
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Introduction to Databases
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Database System
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Evolution of Databases
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The Database Approach
Advantages of Database Approach
Disadvantages of Database Approach
Database Management Systems
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Primary Key
Cardinality and Degree
Relationships
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Data Integrity
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SQL ALTER TABLE
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SQL WHERE
SQL AND & OR
SQL ORDER BY
SQL UPDATE
SQL DELETE
SQL LIKE
SQL IN
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SQL INNER JOIN
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SQL UNION
SQL AS
SQL Aggregate Functions
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SQL GROUP BY
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Data & Information, Drawbacks of File system, What is Database Management Systems, What is the need of DBMS, Examples of DBMS, Database Types, Applications of DBMS, Advantage of DBMS over file system, Disadvantages of DBMS, DBMS vs. File System
Dbms logical dependance
Logical data independence refers to the ability to change the logical schema without affecting external schemas or application programs. Physical data independence means changing the physical schema without changing the logical schema.
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- 1. Deductive databases Making smart applications Maroun Baydoun Inf 1312
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- 5. Large storage space Performance issues Administrative nightmares
- 10. Databases: The prime medium for data storage
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