Big Data Characteristics and Importance
40 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What is the primary characteristic of Big Data that makes it difficult to process using traditional database and software techniques?

  • High velocity
  • Variety of data types
  • Low value
  • Large volume (correct)

    • Which of the following is an example of structured data?

  • Video files
  • Excel files (correct)
  • Image files
  • PDF documents

    • 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 (correct)
  • To ensure data security
  • To reduce data storage costs
  • To improve data analysis speed

    • What is the primary benefit of implementing Big Data solutions in various industries?

    <p>Creating actionable solutions that can influence business decisions</p> Signup and view all the answers

    Which of the following is NOT a characteristic of Big Data?

    <p>Security</p> Signup and view all the answers

    What is the primary goal of Big Data analysis?

    <p>To create actionable solutions that can influence business decisions</p> Signup and view all the answers

    Which of the following is an example of unstructured data?

    <p>Image files</p> Signup and view all the answers

    What is the primary challenge of working with Big Data?

    <p>Managing large volumes of data</p> Signup and view all the answers

    What is the term used to describe large datasets beyond traditional management capabilities?

    <p>Big Data</p> Signup and view all the answers

    What is the primary purpose of Hadoop?

    <p>To process both structured and unstructured data</p> Signup and view all the answers

    Approximately how many bytes of data are created every day?

    <p>2.5 quintillion bytes</p> Signup and view all the answers

    What is expected to further accelerate data creation?

    <p>The Internet of Things (IoT)</p> Signup and view all the answers

    What is a benefit of effectively utilizing Big Data?

    <p>Gaining a competitive edge</p> Signup and view all the answers

    Which industry giant is actively involved in Big Data research and services?

    <p>Google</p> Signup and view all the answers

    What is a common process for data analysis in Big Data?

    <p>Building models from collected data</p> Signup and view all the answers

    What is the purpose of tweaking data point values in Big Data analysis?

    <p>To observe result impacts</p> Signup and view all the answers

    What are the general categories of activities involved with Big Data processing?

    <p>Ingesting data, persisting data, analyzing data, visualizing results</p> Signup and view all the answers

    What does Data Mining refer to?

    <p>Analyzing data to extract key knowledge or patterns</p> Signup and view all the answers

    What is the primary goal of Machine Learning?

    <p>To design systems that can learn and improve based on data</p> Signup and view all the answers

    What is Data Analytics?

    <p>The process of collecting, preparing, and delivering data products</p> Signup and view all the answers

    What are the 7 characteristics of Big Data?

    <p>Volume, Variety, Velocity, Veracity, Value, Variability, Viscosity</p> Signup and view all the answers

    What is the primary focus of Big Data System Architecture?

    <p>Building systems that can store and process large amounts of data</p> Signup and view all the answers

    What is the purpose of ingesting data in Big Data processing?

    <p>To bring data into the system for processing</p> Signup and view all the answers

    What is the main difference between Data Analytics and Machine Learning?

    <p>Data Analytics focuses on analyzing data, while Machine Learning focuses on designing systems that can learn</p> Signup and view all the answers

    What is the total number of Vs that characterize Big Data?

    <p>8</p> Signup and view all the answers

    Which of the following is an application of Big Data in improving performance?

    <p>Improving Sports Performance</p> Signup and view all the answers

    In which area is Big Data employed for grading systems?

    <p>Education</p> Signup and view all the answers

    What is an advantage of Big Data?

    <p>Better Decision Making</p> Signup and view all the answers

    Which of the following is a disadvantage of Big Data?

    <p>Chances of Failure</p> Signup and view all the answers

    What is a characteristic of Big Data that affects its deployment?

    <p>Velocity</p> Signup and view all the answers

    Which of the following is an area that employs Big Data for route planning?

    <p>Transportation</p> Signup and view all the answers

    What is an advantage of Big Data in terms of security?

    <p>Fraud Detection</p> Signup and view all the answers

    What is one of the motivations behind Big Data?

    <p>To uncover many life-related issues</p> Signup and view all the answers

    When was the first supercomputer capable of immense calculations introduced?

    <p>1995</p> Signup and view all the answers

    What is the estimated productivity benefit for businesses using data?

    <p>$430 billion</p> Signup and view all the answers

    What is the Internet of Things (IoT) characterized by?

    <p>Incorporation of multiple technologies</p> Signup and view all the answers

    When was the term 'Big Data' coined?

    <p>2005</p> Signup and view all the answers

    What is a consequence of Big Data facing challenges concerning privacy?

    <p>Big Data will become less important</p> Signup and view all the answers

    What is a significant milestone in the evolution of the internet and Big Data?

    <p>Introduction of personal computers</p> Signup and view all the answers

    What is a result of Web 2.0 and social networks?

    <p>A substantial daily increase in data generation</p> Signup and view all the answers

    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.
    • 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.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Description

    Learn about the characteristics of Big Data, including structured and unstructured data, and its importance in uncovering hidden knowledge.

    More Like This

    Big Data Formats and Characteristics
    11 questions

    Big Data Formats and Characteristics

    LawfulTurtle9433 avatar
    LawfulTurtle9433
    Big Data Applications Chapter 2
    30 questions

    Big Data Applications Chapter 2

    AffluentBoolean avatar
    AffluentBoolean
    Big Data Analytics and Warehousing
    7 questions

    Big Data Analytics and Warehousing

    SweetCalcite avatar
    SweetCalcite
    Big Data Chapter 6
    23 questions

    Big Data Chapter 6

    DeadOnCantor avatar
    DeadOnCantor
    Use Quizgecko on...
    Browser
    Open
    Browser
    Browser