راهحلهای اینترنت اشیاء در مجموعهٔ Azure IoT مایکروسافت: جمعآوری و تحلیل دادهها در دنیای واقعی
IoT Solutions in Microsoft's Azure IoT Suite : Data Acquisition and Analysis in the Real World
معرفی کتاب «راهحلهای اینترنت اشیاء در مجموعهٔ Azure IoT مایکروسافت: جمعآوری و تحلیل دادهها در دنیای واقعی» (با عنوان لاتین IoT Solutions in Microsoft's Azure IoT Suite : Data Acquisition and Analysis in the Real World) نوشتهٔ Scott Klein (auth.)، منتشرشده توسط نشر Apress : Imprint: Apress در سال 2017. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
Collect and analyze sensor and usage data from Internet of Things applications with Microsoft Azure IoT Suite. Internet connectivity to everyday devices such as light bulbs, thermostats, and even voice-command devices such as Google Home and Amazon.com's Alexa is exploding. These connected devices and their respective applications generate large amounts of data that can be mined to enhance user-friendliness and make predictions about what a user might be likely to do next. Microsoft's Azure IoT Suite is a cloud-based platform that is ideal for collecting data from connected devices. You'll learn in this book about data acquisition and analysis, including real-time analysis. Real-world examples are provided to teach you to detect anomalous patterns in your data that might lead to business advantage. We live in a time when the amount of data being generated and stored is growing at an exponential rate. Understanding and getting real-time insight into these data is critical to business. IoT Solutions in Microsoft's Azure IoT Suite walks you through a complete, end-to-end journey of how to collect and store data from Internet-connected devices. You'll learn to analyze the data and to apply your results to solving real-world problems. Your customers will benefit from the increasingly capable and reliable applications that you'll be able to deploy to them. You and your business will benefit from the gains in insight and knowledge that can be applied to delight your customers and increase the value from their business. What You'll Learn • Go through data generation, collection, and storage from sensors and devices, both relational and non-relational • Understand, from end to end, Microsoft’s analytic services and where they fit into the analytical ecosystem • Look at the Internet of your things and find ways to discover and draw on the insights your data can provide • Understand Microsoft's IoT technologies and services, and stitch them together for business insight and advantage Who This Book Is For Developers and architects who plan on delivering IoT solutions, data scientists who want to understand how to get better insights into their data, and anyone needing or wanting to do real-time analysis of data from the Internet of Things Collect and analyze sensor and usage data from Internet of Things applications with Microsoft Azure IoT Suite. Internet connectivity to everyday devices such as light bulbs, thermostats, and even voice-command devices such as Google Home and Amazon.com's Alexa is exploding. These connected devices and their respective applications generate large amounts of data that can be mined to enhance user-friendliness and make predictions about what a user might be likely to do next. Microsoft's Azure IoT Suite is a cloud-based platform that is ideal for collecting data from connected devices. You'll learn about data acquisition and analysis, including real-time analysis. Real-world examples are provided to teach you to detect anomalous patterns in your data that might lead to business advantage. We live in a time when the amount of data being generated and stored is growing at an exponential rate. Understanding and getting real-time insight into these data is critical to business. IoT Solutions in Microsoft's Azure IoT Suite walks you through a complete, end-to-end journey of how to collect and store data from Internet-connected devices. You'll learn to analyze the data and to apply your results to solving real-world problems. Your customers will benefit from the increasingly capable and reliable applications that you'll be able to deploy to them. You and your business will benefit from the gains in insight and knowledge that can be applied to delight your customers and increase the value from their business. What You Will Learn Go through data generation, collection, and storage from sensors and devices, both relational and non-relational Understand, from end to end, Microsoft's analytic services and where they fit into the analytical ecosystem Look at the Internet of your things and find ways to discover and draw on the insights your data can provide Understand Microsoft's IoT technologies and services, and stitch them together for business insight and advantage Front Matter....Pages i-xix Front Matter....Pages 1-1 The World of Big Data and IoT....Pages 3-13 Generating Data with Devices....Pages 15-37 Front Matter....Pages 39-39 Azure IoT Hub....Pages 41-55 Ingesting Data with Azure IoT Hub....Pages 57-70 Azure Stream Analytics....Pages 71-84 Real-Time Data Streaming....Pages 85-103 Azure Data Factory....Pages 105-122 Integrating Data Between Data Stores Using Azure Data Factory....Pages 123-139 Front Matter....Pages 141-141 Azure Data Lake Store....Pages 143-154 Azure Data Lake Analytics....Pages 155-172 U-SQL....Pages 173-190 Azure HDInsight....Pages 191-212 Real-Time Insights and Reporting on Big Data....Pages 213-225 Azure Machine Learning....Pages 227-252 Front Matter....Pages 253-253 Azure Data Catalog....Pages 255-272 Azure Event Hubs....Pages 273-289 Back Matter....Pages 291-296 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
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