MySQL Data Types and Storage Quiz

The transaction manager is a database management component responsible for preventing conflicts between concurrent transactions and restoring the database to a consistent state in case of failure.

MongoDB is an open-source NoSQL database that supports INSERT, SELECT, UPDATE, and DELETE operations.

SQL manages relational databases using statements like CREATE TABLE, which creates a new table with specified column names and data types.

Database design the analysis phase identifies database requirements through entities, relationships, and attributes.

Logical design translates these requirements into tables, keys, and columns for a specific database system.

Physical design organizes tables on storage media by adding indexes and optimizing table structures for faster query processing.

An application programming interface (API) like the MySQL Command-Line Client simplifies SQL usage with a database system.

A database can store data in tables, which consist of a name, fixed columns, and variable rows.

Each column has a name and a data type, such as INT, VARCHAR, or DATE.

Data independence is a principle that guarantees query results remain the same regardless of the physical design or organization of data.

SQL is divided into five sublanguages: Data Definition Language (DDL), Data Query Language (DQL), Data Manipulation Language (DML), Data Control Language (DCL), and Data Transaction Language (DTL).

In SQL, a table is a collection of rows, each with an unnamed sequence of values corresponding to columns.

A cell is a single value in a single column and single row.

The CREATE TABLE statement creates a new table with specified column names and data types. The DROP TABLE statement deletes a table and its data. The ALTER TABLE statement modifies existing table columns.

Integer data types include INTEGER and SMALLINT, which allocate different amounts of storage for integer values.

The transaction manager is a database management component responsible for preventing conflicts between concurrent transactions and restoring the database to a consistent state in case of failure.

MongoDB is an open-source NoSQL database that supports INSERT, SELECT, UPDATE, and DELETE operations.

SQL manages relational databases using statements like CREATE TABLE, which creates a new table with specified column names and data types.

Database design the analysis phase identifies database requirements through entities, relationships, and attributes.

Logical design translates these requirements into tables, keys, and columns for a specific database system.

Physical design organizes tables on storage media by adding indexes and optimizing table structures for faster query processing.

An application programming interface (API) like the MySQL Command-Line Client simplifies SQL usage with a database system.

A database can store data in tables, which consist of a name, fixed columns, and variable rows.

Each column has a name and a data type, such as INT, VARCHAR, or DATE.

Data independence is a principle that guarantees query results remain the same regardless of the physical design or organization of data.

SQL is divided into five sublanguages: Data Definition Language (DDL), Data Query Language (DQL), Data Manipulation Language (DML), Data Control Language (DCL), and Data Transaction Language (DTL).

In SQL, a table is a collection of rows, each with an unnamed sequence of values corresponding to columns.

A cell is a single value in a single column and single row.

The CREATE TABLE statement creates a new table with specified column names and data types. The DROP TABLE statement deletes a table and its data. The ALTER TABLE statement modifies existing table columns.

Integer data types include INTEGER and SMALLINT, which allocate different amounts of storage for integer values.

An ER diagram is a schematic representation of entities, relationships, and attributes

Entities are sets of things (entity types) or individual things (entity instances)

Relationships are sets of related things (relationship types) or statements about entity instances (relationship instances)

Attributes are sets of values (attribute types) or individual values (attribute instances)

In analysis, entities, relationships, and attributes are discovered and cardinality is determined

Strong and weak entities, as well as supertype and subtype entities, are distinguished

Logical design converts the ER model into tables, columns, and keys

Entity types and instances, relationship types and instances, and attribute types and instances become tables, foreign keys, and columns, respectively

ER diagrams use crow's foot notation to represent cardinality (zero, one, or many)

Intangible entities are not tracked with data in the database

Primary keys are stable, simple, and meaningless, and determine the relationships between tables

Functional dependence is the dependence of one column on another

Redundancy is the repetition of related values in a table

Normal forms are rules for designing tables with less redundancy

A candidate key is a unique and minimal set of columns

A table is in third normal form if, whenever a non-key column depends on another column, that column is unique

A table is in Boyce-Codd normal form if, whenever a column depends on another column, that column is unique

Heap tables have no order imposed on rows

Normalization eliminates redundancy by decomposing a table into smaller tables

Denormalization intentional introduces redundancy for performance reasons.