In this chapter, we have learned about one of the commercially available tools, Microsoft Azure, and the services it is offering for big data and cloud-related tools and technologies. Then, we have gone a bit further along the learning curve and performed a practical example of streaming data using Microsoft Azure services.
First of all, we created a free account in Microsoft Azure. Then we setup Azure Event Hub, which is responsible for handling the stream of data based on events. Then we created a Java application to simulated IoT data. We then set up a Stream Analytics Job where we configured inputs, a query to filter data as desired, and the output sink. We then created a Dashboard in Microsoft Power BI, which displays related information in a nice visual form.
In the next chapter, we will discuss and explore container-based virtualization. We will also explore...
