IoT Solutions in Microsoft's Azure IoT Suite

The increasing number of Internet-connected everyday devices such as thermostats and toasters generate large amounts of data that can be sifted and analyzed to provide insight into how people live and what else they might be persuaded to buy. This book addresses that need for analysis head-on by showing how to collect and analyze data from the Internet of Things using the Microsoft Azure IoT suite. The business value from mining consumer behavior is too great to ignore, and this book addresses the market by providing a solution for grabbing and analyzing the available data. IoT Solutions in Microsoft's Azure IoT Suite is a solution-oriented book helping readers understand the Internet of Their Things. Big Data and IoT is about gaining real-time insights into the vast amounts and different types of data generated by everyday devices. Microsoft has spent a significant amount of time creating technologiesand services that help companies gain valuable insights into the ever-increasing amounts of data being generated. The key is understanding how these technologies and services are used together effectively and efficiently to solve the big data problems. Readers will come away with the in-depth knowledge of how to solve the real-world data challenges facing organizations today.

Takes you through data generation, collection, and storage from sensors and devices, both relational and non-relational Provides an end-to-end understanding of Microsoft's analytic services and where they fit into the analytical ecosystem Teaches how to look at the Internet of your things and find ways to discover and draw on the insights your data can provide

Autorentext
Scott Klein is a Microsoft Data Platform Technical Evangelist who lives and breathes data. His passion for data technologies brought him to Microsoft in 2011 and has allowed him to travel all over the globe evangelizing SQL Server and Microsoft's cloud data services. Prior to Microsoft, Scott was one of the first four SQL Azure MVPs. Scott has authored several books that talk about SQL Server and Azure SQL Database, and continues to look for ways to help developers and companies grok the benefits of cloud computing. He also thinks grok is an awesome word. Scott's fascination with data and the growth of Big Data and the Internet-of-Things (IoT) technologies has led him to the fantastic world of data discovery and data analytics.

Inhalt
Introduction.-.- Part I: Getting Started.- 1. The World of Big Data and IoT.- 2. Generating Data with Devices.-.- Part II: Data on the Move.- 3. Azure IoT Hub.- 4. Ingesting Data with Azure IoT Hub.- 5. Azure Stream Analytics.- 6. Real-Time Data Streaming.- 7. Azure Data Factory.- 8. Integrating Data Between Data Stores Using Azure Data Factory.-.- Part III: Data at Rest.- 9. Azure Data Lake Store.- 10. Azure Data Lake Analytics.- 11. U-SQL.- 12. Azure HDInsight.- 13. Real-time Insights and Reporting on Big Data.- 14. Azure Machine Learning.-.- Part IV: More on Cortana Intelligence.- 15. Azure Data Catalog.- 16. Azure Event Hubs.