Integrity constraints, or check constraints, help to validate data before it gets saved to the database. The relational database management system will make sure that a value meets a specific criteria, or appears with in a specified range that you define.
- [Instructor] There is one more type of constraint … that I want to talk about … and that's a check constraint … or what's sometimes referred to as … an integrity constraint or a validation rule, … depending on the RDBMS platform that you're working with. … Like null constraints, default values, … and unique constraints, … check constraints are built right into … the design of the table itself … then anytime data is entered into the table, … the database management system … will verify the new values … meet the criteria that have been established. … For numerical data, … you can check that the values … fall within a range of acceptable values. … For instance, a products price must be above zero … and therefore, can't be negative … or an employee's job rating … must be between one and five. … Many of these kinds of data constraints … will be dictated by your business roles. … For character data types, … it's rare that you would specify an alphabetical range … but you can create a check constraint …
Author
Released
9/23/2019- The basics of data storage
- Choosing an entity-relationship design tool
- Using primary keys to identify records
- What to consider when naming objects
- Creating a unique constraint
- Establishing table indexes
- Relating tables with foreign keys
- One-to-many and one-to-one relationships
- Normalization
- Writing SELECT queries in SQL
Skill Level Intermediate
Duration
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Introduction
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1. Get to Know Relational Databases
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What the CRUD?3m 48s
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2. Entity Relationship Diagrams
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Choose an ER design tool5m 7s
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Design a table3m 39s
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3. Data Integrity and Validation
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Data constraints1m 44s
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Create a unique constraint5m 46s
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Define a default value3m 58s
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Establish table indexes4m 49s
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Add check constraints5m 31s
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4. Relationships
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Diagram a relationship2m 42s
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One-to-many relationships2m 10s
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One-to-one relationships1m 10s
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Many-to-many relationships2m 21s
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Self joins2m 17s
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Cascade changes2m 17s
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5. Normalization
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When not to normalize2m 29s
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6. Structured Query Language
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Data definition queries6m 22s
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Data manipulation queries4m 52s
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Create a database view2m 44s
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7. Beyond the Relational Model
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Graph databases1m 38s
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Document databases1m 32s
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Conclusion
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Next steps59s
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Video: Add check constraints