Lecture 10: Introduction to Internet of Things (IoT)
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Questions and Answers

Which of the following best describes the use of big data analytics in the healthcare industry?

  • Reducing Cost of Care (correct)
  • Preventing Pandemics
  • Unstructured Data Analysis
  • Genomic Mapping
  • What is a significant application of big data in the public services sector?

  • Unstructured Data Analysis
  • Preventing Pandemics (correct)
  • Genomic Mapping
  • Social Media for Professionals
  • Which industry example for big data analytics focuses on genomic mapping?

  • Life Sciences (correct)
  • Health Care
  • IT Infrastructure
  • Public Services
  • In the context of online services, which use case is directly associated with big data analytics?

    <p>Social Media for Professionals</p> Signup and view all the answers

    Which aspect of big data analytics is typically applicable to IT infrastructures?

    <p>Unstructured Data Analysis</p> Signup and view all the answers

    Study Notes

    Internet of Things (IoT)

    • IoT is the network of physical objects embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.
    • IoT is everywhere and has various applications.

    Smart Home

    • A smart home is a house with appliances that are connected to the internet and can be controlled via smartphone.
    • Features of smart home technology include:
      • Control: lighting, TV, thermostat, appliances, door locks, and more
      • Convenience: automatically reduces TV volume when receiving a land-line call
      • Security: door locks and security systems
      • Health: monitoring and responding to health needs

    Big Data

    • Big data is high-volume, high-velocity, and high-variety information assets that require new forms of processing to enable enhanced decision making and insight discovery.
    • Characteristics of big data:
      • Volume: exceeds limits of traditional relational databases and grows constantly
      • Velocity: arrives rapidly and often in real-time
      • Variety: does not have a standard structure (e.g., text, images, audio)

    Data Structures

    • Four main types of data structures:
      • Structured data
      • Quasi-structured data
      • Semi-structured data
      • Unstructured data

    Generation of Big Data

    • Sensors gathering information (e.g., climate, traffic)
    • Social media: posts, pictures, and videos
    • Digital satellite images
    • Purchase transaction records
    • Mobile phone GPS signals
    • High-volume administrative and transactional records

    Data Analytics Lifecycle

    • Discovery: identify problem or opportunity
    • Planning: define problem, determine objectives, and identify data needs
    • Data prep: collect, clean, and transform data
    • Model building: develop and refine models
    • Operationalize: deploy and monitor models
    • Communicate results: share insights and recommendations

    Industry Examples for Big Data Analytics

    • Healthcare: reducing cost of care, preventing pandemics
    • Life Sciences: genomic mapping, unstructured data analysis
    • IT Infrastructure: phone/TV, online services, retail, financial services

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    Description

    This quiz covers the basics of Internet of Things (IoT), a network of physical objects with embedded electronics, software, sensors, and network connectivity. Learn about the concept of IoT and its applications.

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