11.1.1 Volume, velocity, variety

    Cards (25)

    • What does Big Data refer to?
      Large and complex datasets
    • The three characteristics of Big Data are often referred to as the 3 Vs
    • Big Data can improve operational efficiency.
    • What does the term "Volume" in Big Data refer to?
      The quantity of data
    • The characteristic "Velocity" in Big Data focuses on the speed at which data is generated and processed.
    • Order the following examples of high-velocity data sources from most continuous to least continuous:
      1️⃣ IoT sensor data
      2️⃣ Streaming services
      3️⃣ Social media feeds
    • Match the type of data with its description:
      Structured data ↔️ Organized data with predefined fields
      Unstructured data ↔️ Data without a defined format
      Semi-structured data ↔️ Data with some organizational properties
    • Integrating different data types is a key challenge of Big Data's "Variety" characteristic.
    • Which of the 3 Vs of Big Data describes the speed of data generation and processing?
      Velocity
    • Big Data is used to improve decision-making, enhance customer experiences, and drive innovation.
    • "Volume" in Big Data refers to the accuracy of the data being processed.
      False
    • What is an example of a data source that generates billions of daily posts?
      Social media feeds
    • Analyzing large volumes of data requires advanced Big Data technologies.
    • Big Data is characterized by its enormous volume
    • The volume of Big Data is often too large for traditional databases to handle.
    • How many customer transactions are processed daily in Big Data examples?
      Millions
    • In Big Data, velocity refers to the speed at which data is generated, collected, and processed
    • What type of data is generated by IoT sensors in Big Data examples?
      Sensor data
    • Delivering insights with minimal latency is a key challenge in Big Data velocity.
    • What are three benefits of Big Data velocity?
      Timely decision-making, customer engagement, efficiency
    • Real-time social media feeds allow businesses to respond quickly to market changes.
    • The variety of Big Data refers to the different types and formats of data that organizations manage.
    • Match the data type with its example in Big Data:
      Structured ↔️ Customer transaction data
      Unstructured ↔️ Text from emails
      Semi-structured ↔️ Server logs
    • Overcoming challenges in data variety leads to comprehensive insights and better decision-making.
    • What are the 3 Vs of Big Data?
      Volume, Velocity, Variety