Podcast
Questions and Answers
This ensures that the column always has a ______,
This ensures that the column always has a ______,
value
Which can be useful for maintaining data ______ and enforcing business rules.
Which can be useful for maintaining data ______ and enforcing business rules.
integrity
This process is important for ______ business rules.
This process is important for ______ business rules.
enforcing
A defined value in the column ensures ______ in the dataset.
A defined value in the column ensures ______ in the dataset.
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Data ______ is essential for creating reliable reports.
Data ______ is essential for creating reliable reports.
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To create a unique constraint, specify the column to be ______.
To create a unique constraint, specify the column to be ______.
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The unique constraint command uses the format UNIQUE (______)
.
The unique constraint command uses the format UNIQUE (______)
.
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An example of adding a unique constraint would be ALTER TABLE person ADD CONSTRAINT phone_unique UNIQUE(______)
.
An example of adding a unique constraint would be ALTER TABLE person ADD CONSTRAINT phone_unique UNIQUE(______)
.
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The command adds a unique constraint named phone_unique
to the ______ column.
The command adds a unique constraint named phone_unique
to the ______ column.
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In SQL, a unique constraint prevents duplicate values in a specified ______.
In SQL, a unique constraint prevents duplicate values in a specified ______.
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The ______ keyword defines a unique constraint.
The ______ keyword defines a unique constraint.
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Using unique constraints helps prevent ______ data and maintain data integrity.
Using unique constraints helps prevent ______ data and maintain data integrity.
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It is important to carefully consider the unique ______ you create for a table.
It is important to carefully consider the unique ______ you create for a table.
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Unique constraints help maintain data ______.
Unique constraints help maintain data ______.
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Creating unique constraints can prevent issues related to ______ data.
Creating unique constraints can prevent issues related to ______ data.
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The INSERT
command is used to add new rows to a ______.
The INSERT
command is used to add new rows to a ______.
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The syntax for the INSERT
command includes INSERT INTO ______ (column1, column2, ...)
.
The syntax for the INSERT
command includes INSERT INTO ______ (column1, column2, ...)
.
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In the example, the new row is inserted into the 'person' table with the value for 'fname' as ______.
In the example, the new row is inserted into the 'person' table with the value for 'fname' as ______.
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The VALUES
clause in the INSERT
command must match the order of the ______ specified.
The VALUES
clause in the INSERT
command must match the order of the ______ specified.
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The ALTER TABLE
command is used to ______ a table.
The ALTER TABLE
command is used to ______ a table.
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Inserting a new row into the 'person' table also includes a value for 'salary' as ______.
Inserting a new row into the 'person' table also includes a value for 'salary' as ______.
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To add a new column, use the add column
______ followed by the column name.
To add a new column, use the add column
______ followed by the column name.
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The add column
clause requires the ______ type.
The add column
clause requires the ______ type.
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You can also add ______ when modifying a table.
You can also add ______ when modifying a table.
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The command ALTER TABLE
allows you to ______ existing columns.
The command ALTER TABLE
allows you to ______ existing columns.
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char(10)
reserves 10 bytes of memory for a string, even if it contains fewer ______.
char(10)
reserves 10 bytes of memory for a string, even if it contains fewer ______.
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A varchar(n)
data type is used for a ______ length string.
A varchar(n)
data type is used for a ______ length string.
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The varchar(n)
data type only uses the actual space needed for the ______.
The varchar(n)
data type only uses the actual space needed for the ______.
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char
reserves a fixed amount of memory, while varchar
uses ______ storage.
char
reserves a fixed amount of memory, while varchar
uses ______ storage.
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varchar(n)
reserves space for a string of specified length but utilizes only the ______ needed.
varchar(n)
reserves space for a string of specified length but utilizes only the ______ needed.
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Study Notes
Database Design
- Database design involves analysis, entity-relationship diagrams (ER diagrams), schema design (DDL), and data manipulation (DML).
- Analysis is the initial step, defining entities (e.g., student, course) and their attributes (e.g., student ID, name, major).
- Relationships between entities are specified (e.g., one-to-one, one-to-many, many-to-many relationships).
- ER diagrams visually represent entities, attributes, and relationships.
- Schema design (DDL) defines the structure of the database tables.
- Data manipulation (DML) involves interacting with the data (e.g., inserting, updating, deleting).
- Key attributes uniquely identify each entity. Examples include student ID, social security number, and serial numbers.
Attribute Types
- Key Attribute: Uniquely identifies an entity, cannot duplicate (e.g., student ID).
- Composite Attribute: Combination of single attributes (e.g., Address: city, street, etc.) to form complete information.
- Multi-Value Attribute: Can have more than one value (e.g., phone numbers, email addresses).
- Derived Attribute: Calculated from other attributes (e.g., age from birth date, GPA from grades).
Relationships
- One-to-One (1:1): Each entity in one table corresponds to at most one entity in another table.
- One-to-Many (1:M): One entity in one table can correspond to many entities in another table.
- Many-to-Many (M:M): Many entities in one table can correspond to many entities in another table (often requiring an intermediary table).
Cardinality Ratio
- Cardinality ratio describes the relationship between the entities: 1:1, 1:M, M:M.
Participation Constraint
- Total Participation: Each entity in one table must be related to an entity in the other table.
- Partial Participation: At least one entity in one table may not be related to an entity in the other table.
Types of Relationships
- Binary Relationship: Two entities are involved in the relationship.
- Recursive Relationship: A binary relationship where a relationship occurs within the same entity (e.g., employee is a supervisor of another employee).
- Ternary Relationship: Three entities are involved.
Entity Types
- Strong Entity: Exists independently and has its own key attribute.
- Weak Entity: Dependent on a strong entity and does not have its own key attribute, needing a partial key from the strong entity to define it.
ER Diagram to Relational Schema Mapping
- Entities in the ER diagram become tables in the relational schema.
- Attributes become columns.
- Relationships become relationships between tables using primary and foreign keys.
SQL
-
DDL (Data Definition Language) statements create, modify, and delete database objects (tables, columns, etc.).
- Create, alter, drop table
- Add, drop, alter columns
-
DML (Data Manipulation Language) statements manage data within database objects.
- Insert, update, delete rows
- Select, retrieve data
-
Constraints (e.g., NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK) enforce data integrity and validity.
-
LIKE
operator is used to filter data based on patterns (e.g., searching based on text patterns or names). -
ORDER BY
clause sorts the results of a query. -
TOP
clause limits the number of returned rows. -
GROUP BY
clause groups similar data to perform aggregate functions such asAVG
,SUM
,COUNT
, andMAX
.
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Description
This quiz explores the essential concepts of database design, including entity-relationship diagrams, schema design, and data manipulation techniques. Test your knowledge on key attributes, composite attributes, and the structural elements that define a well-designed database.