Titlebook: IoT Solutions in Microsoft‘s Azure IoT Suite; Data Acquisition and Scott Klein Book 2017 Scott Klein 2017 IoT.Internet of Things.NoSQL.Azur

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Azure Stream Analyticsmeans that the data has just arrived and is waiting to be picked up by another service for processing. Chapter 3 walked through the process of creating and configuring an Azure IoT Hub to receive the messages sent from the devices. And, depending on how the IoT Hub was configured, the data currently

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Azure Data Factory 5 and 6 walked through the process of using Azure Stream Analytics to pick the data up from Azure IoT Hub and route it to hot path or cold path destinations, depending on the analysis needs for data insights.

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Azure Data Lake Storetion, streaming, and transformation services, ultimately ending up in a storage mechanism for further analysis and processing. Chapter 6 routed the incoming data to two different data stores, Azure Blob Storage and Azure Data Lake Store, using Azure Stream Analytics.

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U-SQLake Store (ADLS), and Azure Data Lake Analytics (ADLA). Azure Data Lake Store is a hyperscale data repository for the enterprise for big data analytic workloads with no limit to file size, ingestion speed, or types of files. Azure Data Lake Analytics lets you focus solely on extracting valuable insi

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Real-Time Insights and Reporting on Big Datae data was picked up by Azure Stream Analytics and routed to storage for downstream processing. The data stores were Azure Blob Storage and Azure Data Lake Store, and they provided a means for analytic processing via HDInsight and other analytic engines and services. For example, the last chapter ta

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Scott KleinTakes 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