Designing data patterns on the cloud

As data flows from the edge to the cloud securely over different channels (such as through speed or batch layers), it is a common practice to store the data in different staging areas or a centralized location based on the data velocity or data variety.These data sources act as a single source of truth and help to ensure the quality of the data for their respective bounded contexts. Therefore, in this section, we will discuss different data storage options, data flow patterns, and anti-patterns on the cloud. Let's begin with data storage.

Data storage

As we learned, in earlier chapters, since edge solutions are constrained in terms of computing resources, it's important to optimize the number of applications or the amount of data persisted locally based on the use case. On the other hand, the cloud doesn't have that constraint, as it comes with virtually unlimited resources with different compute and storage options. This makes...