40 Questions
What is the primary characteristic of Big Data that makes it difficult to process using traditional database and software techniques?
Large volume
Which of the following is an example of structured data?
Excel files
What is the main reason why Big Data requires special tools and techniques?
To create actionable solutions that can influence all aspects of our life
What is the primary benefit of implementing Big Data solutions in various industries?
Creating actionable solutions that can influence business decisions
Which of the following is NOT a characteristic of Big Data?
Security
What is the primary goal of Big Data analysis?
To create actionable solutions that can influence business decisions
Which of the following is an example of unstructured data?
Image files
What is the primary challenge of working with Big Data?
Managing large volumes of data
What is the term used to describe large datasets beyond traditional management capabilities?
Big Data
What is the primary purpose of Hadoop?
To process both structured and unstructured data
Approximately how many bytes of data are created every day?
2.5 quintillion bytes
What is expected to further accelerate data creation?
The Internet of Things (IoT)
What is a benefit of effectively utilizing Big Data?
Gaining a competitive edge
Which industry giant is actively involved in Big Data research and services?
What is a common process for data analysis in Big Data?
Building models from collected data
What is the purpose of tweaking data point values in Big Data analysis?
To observe result impacts
What are the general categories of activities involved with Big Data processing?
Ingesting data, persisting data, analyzing data, visualizing results
What does Data Mining refer to?
Analyzing data to extract key knowledge or patterns
What is the primary goal of Machine Learning?
To design systems that can learn and improve based on data
What is Data Analytics?
The process of collecting, preparing, and delivering data products
What are the 7 characteristics of Big Data?
Volume, Variety, Velocity, Veracity, Value, Variability, Viscosity
What is the primary focus of Big Data System Architecture?
Building systems that can store and process large amounts of data
What is the purpose of ingesting data in Big Data processing?
To bring data into the system for processing
What is the main difference between Data Analytics and Machine Learning?
Data Analytics focuses on analyzing data, while Machine Learning focuses on designing systems that can learn
What is the total number of Vs that characterize Big Data?
8
Which of the following is an application of Big Data in improving performance?
Improving Sports Performance
In which area is Big Data employed for grading systems?
Education
What is an advantage of Big Data?
Better Decision Making
Which of the following is a disadvantage of Big Data?
Chances of Failure
What is a characteristic of Big Data that affects its deployment?
Velocity
Which of the following is an area that employs Big Data for route planning?
Transportation
What is an advantage of Big Data in terms of security?
Fraud Detection
What is one of the motivations behind Big Data?
To uncover many life-related issues
When was the first supercomputer capable of immense calculations introduced?
1995
What is the estimated productivity benefit for businesses using data?
$430 billion
What is the Internet of Things (IoT) characterized by?
Incorporation of multiple technologies
When was the term 'Big Data' coined?
2005
What is a consequence of Big Data facing challenges concerning privacy?
Big Data will become less important
What is a significant milestone in the evolution of the internet and Big Data?
Introduction of personal computers
What is a result of Web 2.0 and social networks?
A substantial daily increase in data generation
Study Notes
Big Data Characteristics
- Big Data refers to a massive volume of structured and unstructured data that is difficult to process using traditional database and software techniques.
- Structured data: Examples include Excel files and Google Docs spreadsheets.
- Unstructured data: Examples include image files, text files like PDF documents, video and audio files.
Motivations and Importance of Big Data
- A significant amount of useful knowledge is hidden in Big Data.
- Big Data can help uncover many life-related issues and reshape how people live, work, and communicate.
- Data volumes will continue to grow, and Big Data will face challenges concerning privacy.
Evolution of Big Data
- Personal computers introduced in 1977, marking a significant milestone for the internet and Big Data evolution.
- 1990s saw a surge in data creation due to increasing internet-connected devices.
- The term "Big Data" was coined in 2005 by O'Reilly Media.
- In 2010, Eric Schmidt highlighted a massive increase in data creation, surpassing historical levels.
The Internet of Things (IoT)
- IoT evolution by 2013 incorporated multiple technologies: Internet, wireless communications, MEMS, embedded systems, GPS, and more.
- These technologies collect and transmit data about the user.
Computing Power and Internet Growth
- Hadoop created in 2005 as a solution for handling Big Data.
- Hadoop is an Open-Source software framework capable of processing structured and unstructured data from various digital sources.
Statistics About Big Data (2022)
- Approximately 2.5 quintillion bytes of data are created every day.
- The Internet of Things (IoT) will further accelerate data creation.
- Organizations effectively utilizing Big Data will gain a competitive edge.
How Big Data Works
- The common process for data analysis involves building models from collected data, running simulations, and tweaking data point values to observe result impacts.
Big Data System Architecture
- Most Big Data architectures include components for ingesting data, persisting data in storage, analyzing data, and visualizing results.
Important Terminologies Related to Big Data
- Data Mining: Refers to extracting key knowledge or patterns from a small or large amount of data.
- Data Analytics: Involves data collection, preparation, and delivery for organizational use.
- Machine Learning: Is the field of study and practice of designing systems that can learn, adjust, and improve based on data fed to them.
Characteristics of Big Data
- Big Data is characterized by 8 Vs: Volume, Variety, Velocity, Veracity, Value, Variability, Viscosity, and Visualization.
Applications of Big Data
- Understanding and targeting customers
- Understanding and optimizing business processes
- Personal quantification and performance optimization
- Improving healthcare and public health
- Improving sports performance
- Improving science and research
- Optimizing machine and device performance
- Improving security and law enforcement
- Improving and optimizing cities and countries
- Financial trading
Areas Employing Big Data
- Education: Grading systems
- Healthcare
- Government: Cyber security
- Media and entertainment
- Weather patterns
- Transportation: Route planning
Advantages and Disadvantages of Big Data
- Advantages: Cost cutting, increased productivity, better decision making, fraud detection, and control online reputation.
- Disadvantages: Chances of failure, correlation errors, incompatible tools, security and privacy concerns, data security, and data discrimination.
Learn about the characteristics of Big Data, including structured and unstructured data, and its importance in uncovering hidden knowledge.
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