In this chapter, we discussed several cloud infrastructure technologies specific to IoT and processing incoming data from devices in the field. We also reviewed some strategies to collect and store IoT data in order to enable analytics. The Hadoop ecosystem and architecture was introduced with some detail on the key components for IoT analytics.

You also learned when and why to use Spark for data processing. We discussed tradeoffs between streaming and batch processing. The Lambda architecture was introduced. Deciding how to handle change was discussed to build in flexibility to allow future analytics to be integrated with data processing.