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Questions and Answers
What defines a byte in data hierarchy?
What defines a byte in data hierarchy?
Which of the following represents the correct hierarchy of data?
Which of the following represents the correct hierarchy of data?
What is a field defined as in the context of data?
What is a field defined as in the context of data?
Which component of data hierarchy is a collection of related data fields?
Which component of data hierarchy is a collection of related data fields?
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What is essential for organizations to complete most business activities?
What is essential for organizations to complete most business activities?
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How is data characterized before being transformed into useful information?
How is data characterized before being transformed into useful information?
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What is described as a collection of related records in data hierarchy?
What is described as a collection of related records in data hierarchy?
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What is the smallest unit of data in the hierarchy?
What is the smallest unit of data in the hierarchy?
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What is a characteristic of big data that refers to the speed at which data is received and processed?
What is a characteristic of big data that refers to the speed at which data is received and processed?
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Which type of data includes formats such as text, images, and videos in the context of big data?
Which type of data includes formats such as text, images, and videos in the context of big data?
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In the context of healthcare, which of the following exemplifies the volume characteristic of big data?
In the context of healthcare, which of the following exemplifies the volume characteristic of big data?
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What is one of the major challenges associated with big data management?
What is one of the major challenges associated with big data management?
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Which field uses big data to analyze huge amounts of user-generated content like posts, images, and videos?
Which field uses big data to analyze huge amounts of user-generated content like posts, images, and videos?
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What is an entity in the context of data management?
What is an entity in the context of data management?
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Which of the following best describes a primary key?
Which of the following best describes a primary key?
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What does the 'Create' operation in CRUD refer to?
What does the 'Create' operation in CRUD refer to?
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Which of the following is NOT a consideration when building a database?
Which of the following is NOT a consideration when building a database?
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Which operation is used to remove data from a database in CRUD?
Which operation is used to remove data from a database in CRUD?
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What does data archiving involve?
What does data archiving involve?
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Which element describes the structure of data organization in a database?
Which element describes the structure of data organization in a database?
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What is the purpose of generating reports in a database management system?
What is the purpose of generating reports in a database management system?
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In a database, what would be a data item?
In a database, what would be a data item?
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What is an attribute in data management?
What is an attribute in data management?
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What is a data model primarily used for?
What is a data model primarily used for?
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Which diagram is specifically used to represent data models visually?
Which diagram is specifically used to represent data models visually?
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What does the term 'one to many' signify in data modeling?
What does the term 'one to many' signify in data modeling?
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In a relational model, what does each row in a table represent?
In a relational model, what does each row in a table represent?
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What does each column in a relational model table represent?
What does each column in a relational model table represent?
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What is one characteristic of an entity-relationship diagram?
What is one characteristic of an entity-relationship diagram?
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What is a typical feature of the relational model?
What is a typical feature of the relational model?
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An entity in data modeling can be described best as:
An entity in data modeling can be described best as:
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Which aspect is not represented in an entity-relationship diagram?
Which aspect is not represented in an entity-relationship diagram?
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What is the primary use of an ER model?
What is the primary use of an ER model?
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What is Structured Query Language (SQL) used for?
What is Structured Query Language (SQL) used for?
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What does the process of data cleansing involve?
What does the process of data cleansing involve?
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How does data validation differ from data cleansing?
How does data validation differ from data cleansing?
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What might be a drawback of performing data cleansing?
What might be a drawback of performing data cleansing?
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Which programming language is commonly used for data validation on web forms?
Which programming language is commonly used for data validation on web forms?
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What requirement is often necessary when linking multiple tables in a database?
What requirement is often necessary when linking multiple tables in a database?
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What does data validation identify?
What does data validation identify?
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Why might data cleansing be necessary in database management?
Why might data cleansing be necessary in database management?
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Which of the following statements is true regarding SQL?
Which of the following statements is true regarding SQL?
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What is a potential outcome of not performing data cleansing?
What is a potential outcome of not performing data cleansing?
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Study Notes
Data Fundamentals
- Data is essential for businesses to operate.
- Data is raw facts.
- Data needs to be organized to become useful information.
Hierarchy of Data
- A bit (binary digit) is a circuit that is either on or off.
- A byte is composed of eight bits.
- Each byte represents a character.
- A field is a name, number, or combination of characters that describes an aspect of a business object or activity.
- A record is a collection of related data fields.
- A file is a collection of related records.
- A database is a collection of integrated and related files.
Data Entities, Attributes, and Keys
- An entity is a person, place, or thing for which data is collected.
- An attribute is a characteristic of an entity.
- A data item is the specific value of an attribute.
- A primary key is a field or set of fields that uniquely identifies a record.
Database Activities
- Create: Inserting new data.
- Read: Retrieving data from the database.
- Update: Modifying existing data.
- Delete: Removing data.
- Generating reports: Output used for decision making.
Data Modeling
- Considerations when building a database include:
- Content: What data should be collected?
- Access: What data should be provided to which users and when?
- Logical structure: How should data be arranged so that it makes sense?
- Physical organization: Where should data be physically located?
- Archiving: How long to store?
- A data model is a diagram of data entities and their relationships.
- Entity-relationship (ER) diagrams use graphical symbols to represent data organization and relationships.
- ER models show the structure of a database at a high level.
Relational Model
- A relational model uses two-dimensional tables called relations to organize data.
- Each row represents an entity.
- Each column represents an attribute.
Structured Query Language (SQL)
- SQL is a programming language for accessing and manipulating data in a relational database.
Data Cleansing
- The process of detecting and correcting or deleting incomplete, incorrect, or inaccurate records in a database.
- Can be costly.
- Different from data validation:
- Data validation identifies “bad data” and rejects it at the time of data entry.
Big Data
- Big data is extremely large and complex data collections that cannot be handled by traditional data management systems.
- Three characteristics of big data:
- Volume: large amounts of data.
- Velocity: data arrives quickly, requiring fast processing.
- Variety: structured data like databases, and unstructured data like text, images, and videos.
Big Data Uses
- Social Media Analytics:
- Volume: huge amounts of user-generated content.
- Velocity: real-time updates and interactions.
- Variety: text, mages, videos.
- Healthcare:
- Volume: patient records, medical imaging data.
- Velocity: real-time monitoring of patient vitals.
- Variety: structured data like patient information, and unstructured data like medical images and notes.
- Transportation:
- Volume: data from GPS devices, traffic cameras.
- Velocity: real-time traffic updates.
- Variety: location data, images, video feeds.
Challenges of Big Data
- Where and how to store and process the data.
- How to find the subset of the data that are relevant to the decision making.
- How to derive value from the relevant data.
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Description
Explore the essential concepts of data and its importance in the business world. This quiz covers the hierarchy of data, data entities, attributes, primary keys, and fundamental database activities like creating, reading, and updating data.