6 Real-time queries with Azure Stream Analytics
This chapter covers
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Creating a Stream Analytics service
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Configuring inputs and outputs
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Choosing the number of streaming units
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Writing queries using window functions
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Writing queries for parallel processing
In previous chapters you’ve seen examples of prep work for batch processing, loading files into storage, and saving groups of messages into files. Storage accounts, Data Lake, and Event Hubs set the base for building a batch processing analytics system in Azure. In this chapter, you’re going to see how these services support stream processing too.
Stream processing covers running an operation on individual pieces of data from an endless sequence, or on multiple pieces of data in a ...
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