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What is a database?
What is a database?
A database is an organized collection of data. The data are typically organized to model aspects of reality in a way that supports processes requiring information.
What is a Database Management System?
What is a Database Management System?
Database management systems (DBMSs) are specially designed software applications that interact with the user, other applications, and the database itself to capture and analyze data.
What are the major characteristics of the database approach? (Select all that apply)
What are the major characteristics of the database approach? (Select all that apply)
What are the advantages of DBMS? (Select all that apply)
What are the advantages of DBMS? (Select all that apply)
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Explain the ANSI/SPARC architecture of Database System.
Explain the ANSI/SPARC architecture of Database System.
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What is data independence?
What is data independence?
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What are the two types of data independence?
What are the two types of data independence?
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What is a Database Administrator (DBA)?
What is a Database Administrator (DBA)?
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What are the functions of a DBA? (Select all that apply)
What are the functions of a DBA? (Select all that apply)
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What are the different types of data models? (Select all that apply)
What are the different types of data models? (Select all that apply)
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Which of these data models are considered legacy data models? (Select all that apply)
Which of these data models are considered legacy data models? (Select all that apply)
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What is a database schema?
What is a database schema?
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What is a database instance?
What is a database instance?
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What are the DBMS languages used to define the database?
What are the DBMS languages used to define the database?
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What is Data Definition Language (DDL)?
What is Data Definition Language (DDL)?
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What is Storage Definition Language (SDL)?
What is Storage Definition Language (SDL)?
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What is Data Manipulation Language (DML)?
What is Data Manipulation Language (DML)?
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What are the two main types of DMLs? (Select all that apply)
What are the two main types of DMLs? (Select all that apply)
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What is a query language?
What is a query language?
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What is a Data Sublanguage?
What is a Data Sublanguage?
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Who are the persons involved in the design, use, and maintenance of a database? (Select all that apply)
Who are the persons involved in the design, use, and maintenance of a database? (Select all that apply)
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What is the role of a Database Administrator?
What is the role of a Database Administrator?
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What is the role of a Database Designer?
What is the role of a Database Designer?
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What are the different types of end users who interact with a database?
What are the different types of end users who interact with a database?
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What is the relational model?
What is the relational model?
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What are the key elements of the relational model? (Select all that apply)
What are the key elements of the relational model? (Select all that apply)
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What are key fields in a relation?
What are key fields in a relation?
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What is a candidate key in a relation?
What is a candidate key in a relation?
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What is a super key in a relation?
What is a super key in a relation?
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What is a primary key in a relation?
What is a primary key in a relation?
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What is an alternate key in a relation?
What is an alternate key in a relation?
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What is a secondary key in a relation?
What is a secondary key in a relation?
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What is a composite key in a relation?
What is a composite key in a relation?
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What is a foreign key in a relation?
What is a foreign key in a relation?
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What is an entity in a relational database?
What is an entity in a relational database?
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What is a strong entity in a relational database?
What is a strong entity in a relational database?
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What is an attribute in a relational database?
What is an attribute in a relational database?
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What are the different types of attributes in a relational database? (Select all that apply)
What are the different types of attributes in a relational database? (Select all that apply)
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What is an entity-relationship model (ER model)?
What is an entity-relationship model (ER model)?
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What is an entity-relationship diagram (ERD)?
What is an entity-relationship diagram (ERD)?
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What is cardinality ratio?
What is cardinality ratio?
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What is normalization in a relational database?
What is normalization in a relational database?
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What are the normal forms in database normalization? (Select all that apply)
What are the normal forms in database normalization? (Select all that apply)
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What is Structured Query Language (SQL)?
What is Structured Query Language (SQL)?
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Study Notes
Database Management Systems (DBMS)
- A DBMS is specialized software for interacting with users, other applications, and the database.
- It manages data definition, creation, querying, updating, and administration of databases.
- Well-known DBMSs include MySQL, Microsoft SQL Server, and Oracle.
Database Approach Characteristics
- Self-describing nature: The database system describes its own structure and constraints.
- Insulation between data and program: Changes to the file structure don't necessitate program changes. This is called data independence.
- Support for multiple user views: Each user has a different view of the database.
- Sharing of data and multiple user transaction processing: Multiple users can access data concurrently with controlled updates.
Advantages of DBMS
- Reduce Redundancy: Centralized data control eliminates unnecessary duplication.
- Eliminate inconsistencies: Reduces data inconsistencies caused by redundant data.
- Shared data: Enables sharing of data among multiple applications and users.
- Data Integrity: Centralized control ensures data accuracy and consistency.
- Security: Protects confidential data from unauthorized access.
Disadvantages of DBMS
- High cost of software/hardware and migration: Upgrading hardware and software is expensive.
- Problem associated with centralization: Backup and recovery in a centralized system is complex.
- Complexity of backup and recovery: Operations are complex, especially in concurrent multi-user systems.
ANSI/SPARC Architecture
- The architecture is divided into three levels: internal, conceptual, and external.
- Internal level: Closest to physical storage, describing how data is physically stored.
- Conceptual level: A level of indirection between internal and external levels, providing a community view.
- External level: Closest to users, concerned with how individual users view data.
Data Independence
- Applications are immune to changes in storage structure and access technique.
Database Administrator (DBA) Functions
- Makes strategic and policy decisions for enterprise data and the database.
- Defines the conceptual schema of the database.
- Determines how data is represented (internal schema).
- Establishes links with users to ensure data availability and writes necessary external schemas.
- Defines security and integrity rules for the database.
- Defines and implements recovery schemes for backups and reloading.
- Organizes the system to achieve optimal enterprise performance.
Data Model
- A data model is a collection of concepts used to describe the structure of a database.
- Data types, relationships, and constraints are part of the structure.
- Operations to retrieve and update data are also included.
High-Level/Conceptual Data Models
- Close to the way users perceive data.
- Use concepts like entities, attributes, and relationships.
Representational/Implementation Data Models
- Used in commercial DBMSs.
- Include relational, network, and hierarchical models.
Note: Legacy models are less common today.
Physical Data Models
- Describe how data is stored on the computer.
- Include record formats, ordering, and access paths (for efficient searches).
Database Schemas, Instances, Database State
- Schema: The description of the database, defined during design.
- Schema diagram: A diagram displaying the schema.
- Instance/State: The actual data in the database at a specific moment in time.
- The DBMS keeps descriptions of structures and constraints (meta-data).
- The schema (intension) and the state/instance (extension).
DBMS Languages
- Data Definition Language (DDL): Used by designers to define schemas, including the conceptual and internal schemas. A compiler processes DDL statements, identifies schema constructs and stores the descriptions in the DBMS catalog.
- Data Manipulation Language (DML): Allows users to manipulate data (retrieve, insert, delete, modify).
- High-Level/Nonprocedural DML: Specifies what data is needed, not how to retrieve it (Example: SQL).
- Low-Level/Procedural DML: Provides commands embedded in another programming language.
Database Personnel
- Database Administrators (DBAs): Oversee database management (authorization, coordination, acquisition of resources).
- Database Designers: Define the data to be stored and its representation.
- End Users: Interact with the database for querying, updating, and retrieving information. Multiple categories exist like casual, naive/parametric, sophisticated.
Relational Model
- Represents databases as collections of relations (tables).
- Relations use tuples(rows) and attributes(columns).
- Data values are typically related to real-world entities or relationships.
Key Fields, Candidate Keys, Primary Keys
- Key field(s) uniquely identify a record within a relation.
- Candidate key is a set of fields that uniquely identifies an entity.
- Primary key is a candidate key selected by the database designer as the principal means of entity identification.
Alternative, Secondary, and Composite Keys
- Alternate key: A candidate key not selected as a primary key.
- Secondary key: Attributes used for identifying records (not unique).
- Composite key: A combination of columns used to uniquely identify a row. Uniqueness is guaranteed only when combining the columns.
Foreign Keys and Entities
- Foreign key: A field in one table that references a unique identifier in another table. Maintains relationship between tables.
- Entity: A thing with independent existence, uniquely identifiable (an abstraction).
Weak and Strong Entities
- Weak entity: Existence depends on another entity (strong entity).
- Strong entity: Has a primary key, independent existence.
Attributes (Simple, Composite, Multi-valued, Stored/Derived, Complex)
- Attribute: A property that describes an entity.
- Simple attribute: Consists of a single value (cannot be subdivided).
- Composite attribute: Can be subdivided into simple attributes(e.g., address).
- Multi-valued attribute: Can have multiple values associated.
- Stored attribute: Directly stores a value.
- Derived attribute: Derives a value from other stored attributes(e.g., age from DOB).
- Complex attribute: Combination of simple and/or multivalued composite attributes.
Entity-Relationship (E-R) Model
- Used to model data aspects of a business domain or process in an abstract way suitable for implementation in a database (like a relational database).
- ER diagrams are used to represent entities, relationships, and databases graphically.
Cardinality Ratio (One-to-One, One-to-Many, Many-to-Many)
- One-to-One: Each entity is related to at most one other entity.
- One-to-Many: One entity is related to many other entities, but each other entity is related to at most one entity of the first type.
- Many-to-Many: Multiple entities from one type can relate to multiple entities from another type.
Normalization
- Simplifies data relationships in a database to reduce redundancy, inconsistencies, and anomalies (errors).
- Normal forms (1NF, 2NF, 3NF, BCNF, 4NF, 5NF, DKNF) ensure data structure optimizes data integrity.
Denormalization
- Introduces redundancy to improve database performance for certain applications.
Structured Query Language (SQL)
- Standard language to work with relational databases, enabling queries.
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Description
Explore the essential features and advantages of Database Management Systems (DBMS) in this quiz. Learn about the self-describing nature of databases, data independence, and how DBMS reduces redundancy and inconsistencies. Ideal for students and professionals looking to deepen their understanding of database systems.