Our first task is choosing the right data solution. Now the question immediately arises of: how do we approach this task?
Let's start with one of the big Vs. In our case, V is for variety.
The term variety describes the type and the nature of the data. For us, the following three types of data are relevant:
Structured data: Structured data is defined in a data model or in any form of schema (schema-on-write model), where the data is described. As a solution for the structured data area, the Azure platform offers the so-called Azure SQL as a service, services.
- Semi-structured data: Semi-structured data does not have the formal structure of a data model, but contains tags or other types of markers to separate elements, and enforce hierarchies of records and fields within the data. Therefore, it is also known as the self-describing structure. Typical examples of a self-describing structure are XML or JSON. As a solution for the semi-structured data...