Summary
In this chapter, we built a sensor data analytics application that has a wide variety of applications, as it is related to the emerging IoT field. We understood the problem domain and the data model, including metadata related to sensors. We wanted to build an analytics application using only Elastic Stack components, without using any other tools and programming languages, to get a powerful tool that can handle large volumes of data.
We started at the very core by designing the data model for Elasticsearch. Then we designed a data pipeline that is secured and can accept data over the internet using HTTP. We enriched the incoming data using the metadata that we had in a relational database and stored in Elasticsearch. We sent some test data over HTTP just like real sensors send over the internet. We built some meaningful visualizations that will give answers to some typical questions. Then we put together all visualizations in a powerful, interactive dashboard.
In Chapter 11, Monitoring...
