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

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