rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Azure Internet of Things Revealed
    sub title: Architecture and Fundamentals
  name:
    name part: Stackowiak, Robert.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 205 p. 96 illus. online resource.
  abstract: Design, build, and justify an optimal Microsoft IoT footprint to meet your project needs. This book describes common Internet of Things components and architecture and then focuses on Microsoft's Azure components relevant in deploying these solutions. Microsoft-specific topics addressed include: deploying edge devices and pushing intelligence to the edge; connecting IoT devices to Azure and landing data there, applying Azure Machine Learning, analytics, and Cognitive Services; roles for Microsoft solution accelerators and managed solutions; and integration of the Azure footprint with legacy infrastructure. The book concludes with a discussion of best practices in defining and developing solutions and creating a plan for success. You will: Design the right IoT architecture to deliver solutions for a variety of project needs Connect IoT devices to Azure for data collection and delivery of services Use Azure Machine Learning and Cognitive Services to deliver intelligence in cloud-based solutions and at the edge Understand the benefits and tradeoffs of Microsoft's solution accelerators and managed solutions Investigate new use cases that are described and apply best practices in deployment strategies Integrate cutting-edge Azure deployments with existing legacy data sources.
  table of contents: 1. Modern IoT Architecture Patterns -- 2. Azure IoT Solutions Overview -- 3. IoT Edge Devices and Microsoft -- 4. Azure IoT Hub -- 5. Analyzing and Visualizing Data in Azure -- 6. IoT Central & Solution Accelerators -- 7. Infrastructure Integration -- 8. Developing a Plan for Success -- 9. Appendix: Published Sources.
  note: by Robert Stackowiak.
  subject:
    topic: Microsoft software
  subject:
    topic: Microsoft .NET Framework
  subject:
    topic: Machine learning
  subject:
    topic: Microsoft and .NET
  subject:
    topic: Machine Learning
  classification: QA76.76.M52
  classification: 004.165
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484254707
  identifier: https://doi.org/10.1007/978-1-4842-5470-7
  record info:
    record creation date: 191109
    record change date: 20191109203852.0
    record identifier: 978-1-4842-5470-7