Titlebook: Business in Real-Time Using Azure IoT and Cortana Intelligence Suite; Driving Your Digital Bob Familiar,Jeff Barnes Book 2017 Bob Familiar

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Systeme, die absatzweise arbeiten,y well defined. The real work begins when you have thousands, possibly millions, of devices connected to the cloud and you need to manage the day-to-day operations of this extremely distributed system. In addition to monitoring and managing the cloud services that are providing analytics, storage, d

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Systeme, die gleichzeitig arbeiten,ly DevOps and Device Management. This chapter looks at the world of sensors, devices, and gateways. Although we won’t be able to cover all the possible permutations of hardware and software, we will touch upon some of the more common scenarios we encounter and how they relate and work together to cr

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https://doi.org/10.1007/978-3-658-03962-2ees the most impactful solutions, these businesses need to incorporate real-time data. While there may be SaaS services that comport to provide a complete end-to-end solution, our experience shows that today there really is no option to buy a product that will truly deliver what organizations need.

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https://doi.org/10.1007/978-3-322-80553-9 modern business running at Internet speed. It first covers the basic technical aspects and capabilities of Azure Data Factory and Azure Data Lake. Following that, the chapter implements three major pieces of functionality for the reference implementation:

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https://doi.org/10.1007/978-3-322-80553-9This chapter examines the use of Azure Data Lake analytics (ADLA), which is Microsoft‘s new "Big Data" toolset that runs on top of Azure Data Lake.

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Wer beteiligt sich an Mehrfachausbildungen?This chapter explores the exciting new world of machine learning and predictive analytics. Machine learning is currently one of the most exciting technology topics in the IT industry today. With very good reason, as it being used across almost every major industry segment and vertical today.

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