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
Author(s): Scott Klein
Edition: 1
Publisher: Apress
Year: 2017
Language: English
Commentary: True PDF
Pages: 296
City: New York, NY
Tags: Microsoft Azure; Machine Learning; Data Analysis; Big Data; Internet of Things; .NET; Microsoft Cortana; Stream Processing; Apache Hadoop; Raspberry Pi; Data Lake; Data Collection; Azure IoT Hub
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