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The Resource IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein

IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein

Creator
Author
Summary
Chapter 7: Azure Data Factory; What Is Azure Data Factory?; Key Components; Activity; Pipeline; Dataset; Linked Service; Creating and Configuring a Data Factory; Portal; Visual Studio; Scenario; Summary; Chapter 8: Integrating Data Between Data Stores Using Azure Data Factory; Building the Pipeline; Preparing the Environment; Creating the Linked Service; Azure Storage; Azure SQL; Creating the Datasets; Creating the Pipeline; Copying Data; Running and Monitoring the Pipeline; Monitoring and Managing Azure Data Factory; Alerts; Summary; Part III: Data at Rest
Language
eng
Work
Publication
Extent
1 online resource (xix, 296 pages)
Note
Includes index
Contents
  • At a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Part I: Getting Started; Chapter 1: The World of Big Data and IoT; Big Data; What Is Big Data?; The Three Vs of Big Data; Volume; Variety; Velocity; Are There Additional Vs?; Why You Should Care About Big Data; Big Data Solutions vs. Traditional Databases; A Quick Data Landscape Comparison; Internet of Things (IoT); What Is the IoT?; The Internet of "Your" Things; Scenarios; The Connected Car; Connected Home; Connected Cow; Summary; Chapter 2: Generating Data with Devices
  • Raspberry PiGetting Started; Installing Windows IoT Core; Generating Data; FEZ HAT; Tessel; Summary; Part II: Data on the Move; Chapter 3: Azure IoT Hub; What Is Azure IoT Hub?; Why Use Azure IoT Hub?; Architectural Overview; Creating an IoT Hub; Messaging Settings; Cloud-To-Device Settings; Device-To-Cloud Settings; Operations Monitoring Settings; Monitoring Categories; Monitoring Settings; Diagnostics Settings; Other Settings; Shared Access Policies; Pricing and Scale; Summary; Chapter 4: Ingesting Data with Azure IoT Hub; Registering the Device; Updating the Application; Raspberry Pi
  • TesselConsiderations; Uploading Files to Azure IoT Hub; Other Device Management Solutions; Summary; Chapter 5: Azure Stream Analytics; What Is Azure Stream Analytics?; Key Benefits and Capabilities; Creating an Azure Stream Analytics Job; Scale; Event Ordering; Audit Log; Additional Settings; Summary; Chapter 6: Real-Time Data Streaming; Configuring the Stream Analytics Job; Creating an Input; Data Stream vs. Reference Data; Consumer Groups; Creating an Output; Defining the Query; Running the Stream Analytics Job; More on Queries; Windowing; Tumbling Window; Hopping Window; Sliding Window
  • Chapter 9: Azure Data Lake StoreAzure Data Lake; Azure Data Lake Store; Azure Data Lake Analytics; U-SQL; Azure HDInsight; Azure Data Lake Store; Creating a Data Lake Store; Working with Azure Data Lake Store; Azure Portal; Visual Studio; Security; Authentication; Authorization; Role-Based Access Control; ACLs; Summary; Chapter 10: Azure Data Lake Analytics; Azure Data Lake Analytics; Creating a New Data Lake Analytics Account; Working with Azure Data Lake Analytics; Azure Portal; Visual Studio; Data Lake Tools; Summary; Chapter 11: U-SQL; What and Why; Architecture; Core Language Principles
Isbn
9781484221433
Instance
Label
IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world
Title
IoT solutions in Microsoft's Azure IoT suite
Title remainder
data acquisition and analysis in the real world
Statement of responsibility
Scott Klein
Creator
Author
Subject
Language
eng
Summary
Chapter 7: Azure Data Factory; What Is Azure Data Factory?; Key Components; Activity; Pipeline; Dataset; Linked Service; Creating and Configuring a Data Factory; Portal; Visual Studio; Scenario; Summary; Chapter 8: Integrating Data Between Data Stores Using Azure Data Factory; Building the Pipeline; Preparing the Environment; Creating the Linked Service; Azure Storage; Azure SQL; Creating the Datasets; Creating the Pipeline; Copying Data; Running and Monitoring the Pipeline; Monitoring and Managing Azure Data Factory; Alerts; Summary; Part III: Data at Rest
Cataloging source
N$T
http://library.link/vocab/creatorDate
1966-
http://library.link/vocab/creatorName
Klein, Scott
Dewey number
004.67/8
Illustrations
illustrations
Index
index present
LC call number
TK5105.8857
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Internet of things
  • Big data
Label
IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein
Instantiates
Publication
Distribution
Copyright
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • At a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Part I: Getting Started; Chapter 1: The World of Big Data and IoT; Big Data; What Is Big Data?; The Three Vs of Big Data; Volume; Variety; Velocity; Are There Additional Vs?; Why You Should Care About Big Data; Big Data Solutions vs. Traditional Databases; A Quick Data Landscape Comparison; Internet of Things (IoT); What Is the IoT?; The Internet of "Your" Things; Scenarios; The Connected Car; Connected Home; Connected Cow; Summary; Chapter 2: Generating Data with Devices
  • Raspberry PiGetting Started; Installing Windows IoT Core; Generating Data; FEZ HAT; Tessel; Summary; Part II: Data on the Move; Chapter 3: Azure IoT Hub; What Is Azure IoT Hub?; Why Use Azure IoT Hub?; Architectural Overview; Creating an IoT Hub; Messaging Settings; Cloud-To-Device Settings; Device-To-Cloud Settings; Operations Monitoring Settings; Monitoring Categories; Monitoring Settings; Diagnostics Settings; Other Settings; Shared Access Policies; Pricing and Scale; Summary; Chapter 4: Ingesting Data with Azure IoT Hub; Registering the Device; Updating the Application; Raspberry Pi
  • TesselConsiderations; Uploading Files to Azure IoT Hub; Other Device Management Solutions; Summary; Chapter 5: Azure Stream Analytics; What Is Azure Stream Analytics?; Key Benefits and Capabilities; Creating an Azure Stream Analytics Job; Scale; Event Ordering; Audit Log; Additional Settings; Summary; Chapter 6: Real-Time Data Streaming; Configuring the Stream Analytics Job; Creating an Input; Data Stream vs. Reference Data; Consumer Groups; Creating an Output; Defining the Query; Running the Stream Analytics Job; More on Queries; Windowing; Tumbling Window; Hopping Window; Sliding Window
  • Chapter 9: Azure Data Lake StoreAzure Data Lake; Azure Data Lake Store; Azure Data Lake Analytics; U-SQL; Azure HDInsight; Azure Data Lake Store; Creating a Data Lake Store; Working with Azure Data Lake Store; Azure Portal; Visual Studio; Security; Authentication; Authorization; Role-Based Access Control; ACLs; Summary; Chapter 10: Azure Data Lake Analytics; Azure Data Lake Analytics; Creating a New Data Lake Analytics Account; Working with Azure Data Lake Analytics; Azure Portal; Visual Studio; Data Lake Tools; Summary; Chapter 11: U-SQL; What and Why; Architecture; Core Language Principles
Dimensions
unknown
Extent
1 online resource (xix, 296 pages)
File format
unknown
Form of item
online
Isbn
9781484221433
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn983797026
Label
IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein
Publication
Distribution
Copyright
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • At a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Part I: Getting Started; Chapter 1: The World of Big Data and IoT; Big Data; What Is Big Data?; The Three Vs of Big Data; Volume; Variety; Velocity; Are There Additional Vs?; Why You Should Care About Big Data; Big Data Solutions vs. Traditional Databases; A Quick Data Landscape Comparison; Internet of Things (IoT); What Is the IoT?; The Internet of "Your" Things; Scenarios; The Connected Car; Connected Home; Connected Cow; Summary; Chapter 2: Generating Data with Devices
  • Raspberry PiGetting Started; Installing Windows IoT Core; Generating Data; FEZ HAT; Tessel; Summary; Part II: Data on the Move; Chapter 3: Azure IoT Hub; What Is Azure IoT Hub?; Why Use Azure IoT Hub?; Architectural Overview; Creating an IoT Hub; Messaging Settings; Cloud-To-Device Settings; Device-To-Cloud Settings; Operations Monitoring Settings; Monitoring Categories; Monitoring Settings; Diagnostics Settings; Other Settings; Shared Access Policies; Pricing and Scale; Summary; Chapter 4: Ingesting Data with Azure IoT Hub; Registering the Device; Updating the Application; Raspberry Pi
  • TesselConsiderations; Uploading Files to Azure IoT Hub; Other Device Management Solutions; Summary; Chapter 5: Azure Stream Analytics; What Is Azure Stream Analytics?; Key Benefits and Capabilities; Creating an Azure Stream Analytics Job; Scale; Event Ordering; Audit Log; Additional Settings; Summary; Chapter 6: Real-Time Data Streaming; Configuring the Stream Analytics Job; Creating an Input; Data Stream vs. Reference Data; Consumer Groups; Creating an Output; Defining the Query; Running the Stream Analytics Job; More on Queries; Windowing; Tumbling Window; Hopping Window; Sliding Window
  • Chapter 9: Azure Data Lake StoreAzure Data Lake; Azure Data Lake Store; Azure Data Lake Analytics; U-SQL; Azure HDInsight; Azure Data Lake Store; Creating a Data Lake Store; Working with Azure Data Lake Store; Azure Portal; Visual Studio; Security; Authentication; Authorization; Role-Based Access Control; ACLs; Summary; Chapter 10: Azure Data Lake Analytics; Azure Data Lake Analytics; Creating a New Data Lake Analytics Account; Working with Azure Data Lake Analytics; Azure Portal; Visual Studio; Data Lake Tools; Summary; Chapter 11: U-SQL; What and Why; Architecture; Core Language Principles
Dimensions
unknown
Extent
1 online resource (xix, 296 pages)
File format
unknown
Form of item
online
Isbn
9781484221433
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
ocn983797026

Subject

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