How do we build a scalable data ingestion process? Modern companies need platforms which can redirect gigabytes of data per second, while handling interruptions gracefully and preserving the integrity of the data. We introduce the concept of event ingestors and stream processors as tools to accomplish that, and teach you how to use Azure Event Hubs and Azure Stream Processing to build a scalable pipeline. We conclude with a discussion of Stream Query Languages, extensions to traditional SQL designed for the particular problems of high velocity and volume data.
|Credit Card Streamer
|Setting up an Event Hub
|Typical Event Processing
|Creating a Stream Analytics job
|Setting up Inputs and Outputs
|Credit Card Stream Dashboard
|Using Power BI
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