IoT solutions in Microsoft's Azure IoT suite : data acquisition and analysis in the real world /: data acquisition and analysis in the real world. (2017)

• Record Type: Book
• Further Information: Note: Scott Klein.
• Authors: Klein, Scott, 1966-
• 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.
• Publisher Details: United States : Apress
• Publication Date: 2017
• Copyright Date: 2017
• Extent: 1 online resource (xix, 296 pages), illustrations (some color)
• Subjects: 004.67/8; Computer science; Internet of things; Big data; COMPUTERS -- Computer Literacy; COMPUTERS -- Computer Science; COMPUTERS -- Data Processing; COMPUTERS -- Hardware -- General; COMPUTERS -- Information Technology; COMPUTERS -- Machine Theory; COMPUTERS -- Reference; Big data; Internet of things; Computers -- Database Management -- Data Mining; Computers -- Database Management -- General; Data mining; Databases; Microsoft software; Microsoft .NET Framework; Data mining; Database management; Computers -- Programming -- Microsoft Programming; Microsoft programming; Electronic books
• Languages: English
• ISBNs: 9781484221433; 1484221435
• Related ISBNs: 9781484221426; 1484221427
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed April 27, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.