In this chapter, we've learned more about Azure Functions integrations and dependencies. We have described how to share common code between different functions in the same Function App, and the advantages of doing so.
We walked through an example integration with Azure Service Bus, a message queueing component commonly used when leveraging serverless compute. We have also showed an example of leveraging Logic Apps to easily integrate with external data streams, such as Twitter.
In the next chapter, we will integrate our application with the Microsoft Cognitive Services text sentiment analysis API to gain real insight into the positive/negative sentiment of the text submitted as input to the various functions we've created.
