Part 3: Popular Data Product Architectures

After working with multiple customers on implementing a data mesh, we found that there are a few common architecture patterns used to process different data and analytics workloads. Most companies build common templates for these workloads so that they can be reused with minor modifications. This part of the book covers four of these common architectures. Architectures for a particular solution can be built in many different ways, so these are just suggestions. Your actual architecture might look different. However, you can use these chapters for guidance.

The structure and format of these chapters are very different from the previous chapters. There are more reference materials, and hence they are very to the point with plenty of links to point you to the documentation of different Microsoft Azure services used to build these templates.

This part has the following chapters:

• Chapter 14, Advanced Analytics Using Azure Machine...