11.1.1 Volume, velocity, variety

• 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