23 Questions
What is the primary characteristic of unstructured data?
No pre-defined structure
What is Big Data primarily used for?
Mining information and advanced analytics
What is a significant challenge concerning Big Data?
Increasing data volume and speed of creation
What is a characteristic of structured data?
Clearly defined and searchable
What is the estimated productivity benefit for businesses using data?
$430 billion
What is a growing trend in Big Data management?
Appointing a Chief Data Officer (CDO)
What is the primary reason for the growing importance of Big Data?
Significant amount of useful knowledge is hidden in Big Data
What is a defining characteristic of Big Data in terms of size?
Datasets in sizes exceeding terabytes
What is the main principle behind big data?
The more data you have, the better you can predict future outcomes.
What is the primary goal of big data analytics?
To make better decisions using hidden relationships in data
What is data mining?
A deep analysis of data to extract knowledge, patterns, and information
What is machine learning in the context of big data?
Designing systems that can learn and improve from data
What is veracity in the context of big data's 3V's?
The trustworthiness of data
What is an example of a big data application?
Optimizing business operations for increased efficiency
What is a component of big data system architecture?
Real-time message ingestion
What is a characteristic of big data?
High velocity of data generation
Which of the following is NOT a challenge of Big Data Visualization?
High storage capacity
What is the main advantage of using Big Data in Education?
Analyzing student data and improving grading systems
Which of the following is an application of Big Data?
Improving Sports Performance
What is Viscosity in the context of Big Data?
Refers to the resistance when navigating through a data collection
Which of the following is a disadvantage of using Big Data?
Security and privacy
Which of the following is an area that employs Big Data?
Healthcare
What is the main advantage of using Big Data in Government?
Used for cybersecurity (including fraud detection) and catching tax evaders
Study Notes
Big Data
- Big Data refers to large volumes of structured, semi-structured, and unstructured data used for mining information and advanced analytics.
Data Types
- Unstructured data: has no pre-defined structure, examples include images, text files, videos, and audio files, difficult to manage and protect, requires more storage.
- Structured data: clearly defined and searchable, can be displayed in rows, columns, and relational databases, examples include tables in spreadsheets, requires less storage, easier to manage and protect.
Characteristics of Big Data
- 3Vs: Volume (massive amount of data), Variety (different types of data), Velocity (speed at which data is generated, collected, and analyzed)
- 6Vs: adds Veracity (trustworthiness of data), Value (business value of data), and Variability (ways in which Big Data can be used and formatted)
- 8Vs: adds Viscosity (resistance when navigating through a data collection) and Visualization (different ways of representing data)
Big Data Process
- Building models based on collected data
- Running simulations with those models
- Adjusting data points and monitoring how it affects results
Big Data Applications
- Predicts customer behavior and buying patterns with high accuracy
- Optimizes business operations for increased efficiency
- Revolutionizes various industries across the business world
- Applications include: understanding and targeting customers, understanding and optimizing business processes, personal quantification and performance optimization, and more
Big Data System Architecture
- Data sources
- Data storage
- Batch processing
- Machine learning
- Real-time message ingestion
- Stream processing
- Analytical data store
- Analytics and reporting
Big Data Terminologies
- Data Mining: deep analysis of data to extract knowledge, patterns, and information
- Data Analytics: focused process involving data collection, preparation, and delivery of valuable insights for businesses
- Machine Learning: designing systems that can learn and improve from data
Challenges and Disadvantages
- Technical limitations
- Complex data representation
- Difficulty in visualizing complex relationships between many variables
- Chances of failure
- Correlation errors
- Incompatible tools
- Security and privacy concerns (data privacy, data security, data discrimination)
Advantages
- Cost cutting
- Increased productivity
- Better decision-making
- Fraud detection
- Control online reputation
This quiz covers various aspects of Big Data, including its characteristics, types, and challenges. Learn about structured, semi-structured, and unstructured data, and their applications.
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