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
Resource Information
The item IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- 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
- 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
- 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
- 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
- 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
- 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
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/IoT-solutions-in-Microsofts-Azure-IoT-suite-/aEfEs9DOm_k/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/IoT-solutions-in-Microsofts-Azure-IoT-suite-/aEfEs9DOm_k/">IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world, Scott Klein</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>