Looking at the data architecture map
It is no secret that every system and application deals with data, and it is no secret that the importance of data is growing year after year, especially with the rise of AI. Data volumes are higher than ever before. Companies need to find ways to store data efficiently and at a reasonable cost while being able to get insights from it. In this chapter, we will browse the vast data landscape of Azure. A reduced version of our data architecture map is shown in Figure 6.1:
Figure 6.1 – The data architecture map (reduced)
Important note
To see the full data architecture map (Figure 6.1), you can download the PDF file at https://github.com/PacktPublishing/The-Azure-Cloud-Native-Architecture-Mapbook/blob/master/Chapter06/maps/Data%20Architecture.pdf.
Our map has five top-level groups:
- BIG DATA: The public cloud is probably the only viable option that deals with real big data. However, big data services...
