Summary 

In this chapter, you gained a well-versed, in-depth learning of high-level design with real-world data streaming architecture components, and understanding of the usage of reference data streams and the output data sink layers using hyperscale big data storage in Azure, also known as the Azure Data Lake Store. We also learned about the globally-distributed, multi-model, low latency, elastic, scale-out capabilities of managing data at a global scale. We have also learned how to architect serverless event processing using the Azure functions with the Azure Cosmos DB output triggers. 

In the next chapter, we will learn how to design the integration of intelligence in Azure Streaming, utilizing Azure Machine Learning, Javascript user-defined functions with complex streams, and finally will implement interactive data stream pipeline application building concepts using the Azure .NET management SDK.