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Questions and Answers
What is the primary function of a stand-alone data dictionary?
What is the primary function of a stand-alone data dictionary?
It grants administrators complete autonomy to define and manage crucial data.
List two common elements included in a data dictionary.
List two common elements included in a data dictionary.
Data elements and indexes.
What information does a data dictionary store about a table?
What information does a data dictionary store about a table?
It stores the creator, number of rows and columns, and creation date.
What is a data definition language (DDL)?
What is a data definition language (DDL)?
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How does a DDL enforce data integrity?
How does a DDL enforce data integrity?
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What role do DDL commands play in creating tables?
What role do DDL commands play in creating tables?
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What kind of applications can be stored in a data dictionary?
What kind of applications can be stored in a data dictionary?
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What type of information about relationships can a data dictionary store?
What type of information about relationships can a data dictionary store?
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What is the primary function of a table in a relational database?
What is the primary function of a table in a relational database?
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Define what a primary key is in a database context.
Define what a primary key is in a database context.
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What is a foreign key used for in a database?
What is a foreign key used for in a database?
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Explain the concept of a one-to-many relationship in databases.
Explain the concept of a one-to-many relationship in databases.
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What issues can arise from data redundancy in databases?
What issues can arise from data redundancy in databases?
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What is a composite primary key?
What is a composite primary key?
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What is the main distinction between data and information?
What is the main distinction between data and information?
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What does the term 'join' refer to in the context of databases?
What does the term 'join' refer to in the context of databases?
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How do databases and information systems differ?
How do databases and information systems differ?
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Describe a many-to-many relationship with an example.
Describe a many-to-many relationship with an example.
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What role does processing play in transforming data into information?
What role does processing play in transforming data into information?
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In what way do spreadsheets differ from databases?
In what way do spreadsheets differ from databases?
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Why is organization important in databases?
Why is organization important in databases?
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What is an example of how databases can facilitate data sharing?
What is an example of how databases can facilitate data sharing?
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What are the four components of an information system?
What are the four components of an information system?
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What purpose do databases serve in an organization?
What purpose do databases serve in an organization?
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What is the primary purpose of data matching?
What is the primary purpose of data matching?
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How does data mining differ from data matching?
How does data mining differ from data matching?
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What are some examples of situations that require third-party access to databases?
What are some examples of situations that require third-party access to databases?
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What is a data warehouse?
What is a data warehouse?
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What are the advantages of using data warehousing?
What are the advantages of using data warehousing?
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Why is ETL important in data warehousing?
Why is ETL important in data warehousing?
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What is the role of predictive modeling in data mining?
What is the role of predictive modeling in data mining?
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What is link analysis used for in databases?
What is link analysis used for in databases?
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What is First Normal Form (1NF)?
What is First Normal Form (1NF)?
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What criteria must a table meet to be in Second Normal Form (2NF)?
What criteria must a table meet to be in Second Normal Form (2NF)?
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Explain the requirement for a table to be in Third Normal Form (3NF).
Explain the requirement for a table to be in Third Normal Form (3NF).
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What does data independence mean in a normalized database?
What does data independence mean in a normalized database?
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How does a normalized database achieve minimal redundancy?
How does a normalized database achieve minimal redundancy?
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Why is logical data organization important in a normalized database?
Why is logical data organization important in a normalized database?
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What does it mean to have a unique identifier in a database table?
What does it mean to have a unique identifier in a database table?
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What does durability ensure in database transactions?
What does durability ensure in database transactions?
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In the context of 2NF, what are partial dependencies?
In the context of 2NF, what are partial dependencies?
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List one advantage of ACID properties related to data integrity.
List one advantage of ACID properties related to data integrity.
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What is a disadvantage of implementing ACID properties?
What is a disadvantage of implementing ACID properties?
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Define query functions in the context of databases.
Define query functions in the context of databases.
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What role do update functions serve in a database?
What role do update functions serve in a database?
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How do ACID properties contribute to concurrency control?
How do ACID properties contribute to concurrency control?
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Explain one potential scalability issue with ACID properties.
Explain one potential scalability issue with ACID properties.
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What do recovery features of ACID properties ensure?
What do recovery features of ACID properties ensure?
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Flashcards
Data vs Information
Data vs Information
Data is raw facts; information is interpreted data providing context.
Information System
Information System
A formal system designed to collect, process, store, and distribute information.
Database
Database
A collection of logically related data designed for organization and retrieval.
Difference: Information System vs Database
Difference: Information System vs Database
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Spreadsheet
Spreadsheet
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Difference: Database vs Spreadsheet
Difference: Database vs Spreadsheet
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Need for Databases
Need for Databases
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Benefits of Data Sharing
Benefits of Data Sharing
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Durability
Durability
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ACID Properties
ACID Properties
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Data Consistency
Data Consistency
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Data Integrity
Data Integrity
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Concurrency Control
Concurrency Control
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Recovery
Recovery
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Query Functions
Query Functions
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Update Functions
Update Functions
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Stand-Alone Data Dictionary
Stand-Alone Data Dictionary
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Data Elements
Data Elements
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Table Information
Table Information
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Indexes in Data Dictionary
Indexes in Data Dictionary
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Programs in Data Dictionary
Programs in Data Dictionary
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Relationships Between Data Elements
Relationships Between Data Elements
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Data Definition Language (DDL)
Data Definition Language (DDL)
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Enforcing Data Integrity
Enforcing Data Integrity
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First Normal Form (1NF)
First Normal Form (1NF)
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Second Normal Form (2NF)
Second Normal Form (2NF)
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Third Normal Form (3NF)
Third Normal Form (3NF)
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Data Independence
Data Independence
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Minimal Redundancy
Minimal Redundancy
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Logical Data Organization
Logical Data Organization
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Transitive Dependency
Transitive Dependency
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Primary Key
Primary Key
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Criminal Investigations
Criminal Investigations
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Medical Emergencies
Medical Emergencies
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Data Matching
Data Matching
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Data Mining
Data Mining
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Key Distinction: Matching vs Mining
Key Distinction: Matching vs Mining
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Object-Oriented Databases
Object-Oriented Databases
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Data Warehouse
Data Warehouse
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ETL Processes
ETL Processes
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Table
Table
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Record (Row)
Record (Row)
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Field (Column)
Field (Column)
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Foreign Key
Foreign Key
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One-to-Many (1:N) Relationship
One-to-Many (1:N) Relationship
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Many-to-Many (M:N) Relationship
Many-to-Many (M:N) Relationship
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Data Redundancy
Data Redundancy
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Study Notes
Introduction to Databases and Information Systems
- Data is meaningless until interpreted to produce information.
- Data is a collection of facts.
- Raw data needs context to become information.
- Primary data is first-hand data, while secondary data is derived from another source.
- An information system gathers, processes, stores, and distributes information.
- A database is a structured collection of data designed for efficient access and management.
Information System vs Database
- A database is a component of an information system, not an information system itself.
- An information system manipulates data from a database to produce information.
- Information Systems use databases to store and retrieve data to create meaningful information.
- A spreadsheet is primarily used for listing and displaying data, though spreadsheets are able to manipulate data, while a database is primarily used for storing and retrieving data, not for modelling.
Database Concepts
- Data organization: Databases organize data in a structured manner, making it easier to store, retrieve, and manipulate.
- **Data integrity:**ensures data accuracy and consistency.
- Data security: protects data from unauthorized access, using mechanisms like access controls.
- Scalability: databases are designed to handle growing amounts of data.
- Performance: optimized for quick access and processing of large amounts of data.
- Data sharing: allows multiple users and applications to access and modify data concurrently.
Database Transactions
- A transaction is a single, logical unit of work involving one or more database operations.
- Database transactions ensure successful completion of all operations involved within the transaction, or ensures that no transaction is partially performed.
- Operations are grouped into a single, atomic unit either finishing or not at all.
- CRUD operations: Create, Read, Update, Delete
Maintaining Data Consistency
- States: Records of database conditions at any given time.
- Updates: Changes to the database (insertions, modifications, deletions).
- Transactions: Manage consistency during concurrent access.
- States are used to track what has changed in the database.
- Updates ensure that data is accurate at all times.
- Maintaining database integrity through controlled changes using transactions is critical.
Concurrency in Data Sharing
- Concurrency: allowing multiple users or applications to access and manipulate data simultaneously.
- Conflicts, problems, and inconsistencies, among multiple users if not managed properly.
- Concurrency control: managing concurrent access to data.
- Locking mechanism: prevents conflicts when multiple users are accessing shared data, ensures data consistency despite simultaneous users.
- Time-stamping: assigns unique timestamps to each transaction.
- Multi-version concurrency control (MVCC): creates multiple versions of data records.
ACID Properties
- Atomicity: All operations within a transaction are treated as a single, indivisible unit. All operations are either completed or nothing is done.
- Consistency: The database should maintain data integrity, keeping data in a valid state before and after changes.
- Isolation: Transactions occurring simultaneously don't interfere with each other.
- Durability: Committed transactions are permanently stored in the database to ensure persistence.
Data Validation and Verification
- Data validation: checking if data conforms to predefined rules.
- Data verification: matching data with the original source.
- Data validation checks for correctness of input.
- Data validation ensures that data is accurately formatted.
- Data verification ensures that data is accurate by comparing with source.
Database Management Systems (DBMS)
- A DBMS manages data to organize and store data.
- DBMSs offer data organization, security, and retrieval mechanisms.
- Examples of DBMS software: MySQL, PostgreSQL, Oracle, and SQL Server.
- A DBMS performs data organization and management.
- DBMS ensure data security, ensuring that data security policies are met.
Schema Concepts
- Schema: a detailed description of the data structure in a database, defining tables, fields, and their relationships.
- Conceptual schema: a high-level view of the database's structure, independent of physical implementation.
- Logical schema: a more detailed representation showing structure, relationships, and constraints.
- Physical schema: the lowest level view, showcasing how data is physically stored and organized in the database system.
Data Dictionary
- A central repository of data about data.
- It describes data elements, tables, and relationships.
- Used as a reference for data users and administrators.
Data Definition Language (DDL)
- DDL commands define the database structure, not the data itself.
- This is done by specifying tables, constraints and relations within databases.
- Examples of DDL commands are: CREATE TABLE, ALTER TABLE in SQL.
Data Modelling
- Data modelling is used to represent the structure of data, relationships, and constraints.
- Represents structure using diagrams, such as Entity-Relationship diagrams (ERDs).
- Critical for database design to avoid redundancy and inconsistency.
- Data modeling is used to plan and construct databases.
- Data modeling is used to make sure everything works efficiently by ensuring proper data relationships.
Relationships in Databases
- One-to-one (1:1): one record in one table relates to just one in another.
- One-to-many (1:N): One record in one table can relate to many in another.
- Many to many (M:N): Multiple records in one table can relate to many in another.
Issues with Redundancy
- Redundancy refers to storing the same data multiple times in a database.
- This causes storage inefficiency, inconsistency, and update errors.
Referential Integrity
- Maintaining valid relationships between tables.
- Prevents invalid or inconsistent data and ensures data quality.
Normalization
- Normalization is used to organize data efficiently, reduce redundancy, and avoid update anomalies.
- Normalization ensures consistency of data and consistency in accessing data.
- 1NF, 2NF, 3NF are different levels of normalization.
Data Matching vs Data Mining
- Data matching: identifying similar records in different datasets (e.g., finding duplicate entries).
- Data mining: discovering patterns and relationships in a large dataset (e.g., identifying customer segments).
Database Queries
- Simple queries: basic operations using select, where, and other simple SQL commands, that typically involve one table and are focused on retrieving information.
- Complex queries: involve multiple tables, aggregate functions, subqueries, including joins across multiple tables, and complex conditions.
Database Recovery and System Maintenance
- Recovery methods refer to the ways an organization returns to a stable state after database issues or errors.
- System maintenance refers to keeping the database in good working order, for example through optimizing queries and performance.
- Database recovery methods include utilizing system logs and mirroring for quick returns to stable states when interruptions occur.
Database Interrogation by Third Parties
- Third parties, such as law enforcement or governments, might need to access database information for specific reasons such as legal cases or investigations.
- Database systems must include access methods and authentication to let third parties retrieve or use the specified data.
- Data privacy and security policies in these situations must be enforced strictly.
Human-Computer interactions with Databases
- Various methods for end-user interaction with databases
- This includes visual query builders, direct SQL coding, or query-by-example interfaces, tailored for specialized databases.
Database Administrator (DBA) Roles
- DBAs ensure that queries run properly and that data is organized appropriately.
- Maintaining storage efficiency, security, and performance of the database is the role of a DBA.
- They focus on a database's efficient, consistent, and secure operations.
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Description
This quiz covers the foundational concepts of databases and information systems, including definitions, distinctions between primary and secondary data, and the roles of each component. Understand how data transforms into information and the function of a database within an information system.