Scalable Data Architecture with Java

12

Evaluating, Recommending, and Presenting Your Solutions

We started our journey with the basics of data engineering and learned various ways to solve data ingestion and data publishing problems. We learned about various architectural patterns, as well as the governance and security of the solution. In the preceding chapter, we discussed how we can achieve performance engineering and how to create a performance benchmark for our solution.

By now, we have acquired multiple skills to architect efficient, scalable, and optimized data engineering solutions. However, as discussed in the Responsibilities and challenges of a Java data architect section of Chapter 1, Basics of Modern Data Architecture, a data architect has multiple roles to play. In ...