Podcast
Questions and Answers
What is the primary characteristic of quantitative data?
What is the primary characteristic of quantitative data?
- It is qualitative in nature and cannot be measured.
- It is centered around numerical values that are countable. (correct)
- It involves only categorical analysis.
- It is exclusively textual information.
Which of the following best describes discrete quantitative data?
Which of the following best describes discrete quantitative data?
- Data that changes continuously over time.
- Data that cannot be counted or categorized.
- Data that includes fractions and decimal points.
- Data represented by whole numbers only. (correct)
How is information defined in the context provided?
How is information defined in the context provided?
- Information is data processed to have meaning. (correct)
- Information refers to data that is purely qualitative.
- Information consists mainly of numerical values.
- Information is random, unstructured data.
Which of the following is an example of continuous quantitative data?
Which of the following is an example of continuous quantitative data?
What differentiates data from information?
What differentiates data from information?
What differentiates qualitative data from quantitative data?
What differentiates qualitative data from quantitative data?
Which statement best describes explicit knowledge?
Which statement best describes explicit knowledge?
What is an example of data that lacks meaning without context?
What is an example of data that lacks meaning without context?
Which of the following capabilities does knowledge provide that data and information alone do not?
Which of the following capabilities does knowledge provide that data and information alone do not?
Which of the following options is NOT a characteristic of quantitative data?
Which of the following options is NOT a characteristic of quantitative data?
How can tacit knowledge primarily be described?
How can tacit knowledge primarily be described?
What type of data is demonstrated by the values 161.2, 175.3, 166.4?
What type of data is demonstrated by the values 161.2, 175.3, 166.4?
Which question does information typically answer?
Which question does information typically answer?
What is a primary role of knowledge in relation to problem-solving?
What is a primary role of knowledge in relation to problem-solving?
What is one limitation of data in making predictions?
What is one limitation of data in making predictions?
Which medium is typically used to store explicit knowledge?
Which medium is typically used to store explicit knowledge?
What is tacit knowledge primarily characterized by?
What is tacit knowledge primarily characterized by?
What is a primary goal of knowledge management?
What is a primary goal of knowledge management?
Which of the following best describes knowledge management systems?
Which of the following best describes knowledge management systems?
What is a common objective of knowledge management?
What is a common objective of knowledge management?
How is tacit knowledge different from explicit knowledge?
How is tacit knowledge different from explicit knowledge?
In knowledge management, what is meant by 'organizational knowledge assets'?
In knowledge management, what is meant by 'organizational knowledge assets'?
Which of the following enhances performance within an organization as described in knowledge management?
Which of the following enhances performance within an organization as described in knowledge management?
What characteristic makes relational databases advantageous for knowledge management?
What characteristic makes relational databases advantageous for knowledge management?
What is a characteristic of a distributed database?
What is a characteristic of a distributed database?
Which of the following is NOT one of the knowledge management objectives?
Which of the following is NOT one of the knowledge management objectives?
What differentiates a homogeneous distributed database from a heterogeneous one?
What differentiates a homogeneous distributed database from a heterogeneous one?
What is a key feature of a cloud database?
What is a key feature of a cloud database?
Which of the following benefits are associated with cloud databases?
Which of the following benefits are associated with cloud databases?
How do distributed databases handle processing?
How do distributed databases handle processing?
What is a common feature of all databases?
What is a common feature of all databases?
Which statement is true regarding users of a cloud database?
Which statement is true regarding users of a cloud database?
What does ACID stand for in database transactions?
What does ACID stand for in database transactions?
What is the primary use case for NoSQL databases?
What is the primary use case for NoSQL databases?
Who invented the relational database model?
Who invented the relational database model?
Which type of database is organized around objects rather than actions?
Which type of database is organized around objects rather than actions?
What standard language is used for querying relational databases?
What standard language is used for querying relational databases?
Which statement accurately describes a graph database?
Which statement accurately describes a graph database?
What characteristic differentiates a relational database from a NoSQL database?
What characteristic differentiates a relational database from a NoSQL database?
Which of these databases is most suitable for analyzing large chunks of unstructured data?
Which of these databases is most suitable for analyzing large chunks of unstructured data?
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Study Notes
Data
- Raw and unorganized collection of text, numbers, symbols, images, or videos.
- Needs context to be meaningful.
Information
- Organized and classified data.
- Processed data with meaningful value for the receiver.
- Used for decision-making and actions.
Knowledge
- Meaningful insights gained from information.
- Can be explicit (knowing-that) or tacit (knowing-how).
- Used for predictions and problem-solving.
Knowledge Management (KM)
- Strategy for creating, using, sharing, and maintaining organizational knowledge assets.
- Uses technology and processes to maximize the value of information.
- Main goal is to connect people with knowledge to enhance overall knowledge within an organization.
Objectives of KM
- Improve knowledge capture process.
- Streamline and enhance knowledge environment.
- Increase access to organizational knowledge.
- Maintain knowledge as an organizational asset.
Database
- Organized collection of information for easy access, management, and updating.
- Provides features to control read/write access, report generation, and analysis.
- Some databases offer ACID compliance for data consistency and transaction completion.
Types of Databases
Relational Database
- Tabular database with data organized into tables.
- Each table has columns with data categories.
- Uses SQL for user and application program interface.
Distributed Database
- Database stored in multiple locations.
- Processing is spread across a network.
- Can be homogeneous or heterogeneous based on hardware, operating systems, or database applications.
Cloud Database
- Optimized for virtualized environments in a hybrid cloud, public cloud, or private cloud.
- Provides scalability, high availability, and pay-per-use pricing.
- Supports business applications in a SaaS deployment.
NoSQL Database
- Suitable for large sets of distributed data.
- Handles big data performance issues and unstructured data.
- Effective for data stored across multiple virtual servers in the cloud.
Object-Oriented Database
- Organizes data around objects and their relationships, instead of actions and data.
- Stores multimedia records as defined data objects instead of alphanumeric values.
Graph Database
- Uses graph theory to store, map, and query relationships.
- A type of NoSQL database.
- Enables efficient analysis of interconnected data points.
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