Abstract
In the early chapters of this book, I talked about hot path and cold path avenues for data. Up until now, the data has followed a cold path in that the 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 talked about processing the data using Azure HDInsight, using Azure Data Lake Store as the data source with data that Azure Stream Analytics had dropped in there.
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© 2017 Scott Klein
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Klein, S. (2017). Real-Time Insights and Reporting on Big Data. In: IoT Solutions in Microsoft's Azure IoT Suite. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2143-3_13
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DOI: https://doi.org/10.1007/978-1-4842-2143-3_13
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2142-6
Online ISBN: 978-1-4842-2143-3
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