Analytics Engineering as the New Core of Data Engineering

In this chapter, we are going to understand the full life cycle of data, from its creation during operations to its consumption by business users. Along this journey, we will analyze the most important details of each phase in the data transformation process from raw data to information.

This will help us understand why analytics engineering, the part of the data journey that we focus on when working with dbt, besides remaining the most creative and interesting part of the full data life cycle, has become a crucial part of data engineering projects.

Analytics engineering transforms raw data from disparate company data sources into information ready for use with tools that analysts and businesspeople use to derive insights and support data-driven decisions.

We will then discuss the modern data stack and the way data teams can work better, defining the modern analytics engineering discipline and the roles in a data team...