Summary
In this chapter, you learned how analytics engineers act as the bridge between business, analytics, and data engineering, enabling data democratization through the quality and accessibility of data products. By delivering reliable data models, analytics engineers are a centerpiece of data-informed decisions.
You also learned how the shift from ETL to ELT contributed to the rise of analytics engineering, and how both methods are still applicable currently. Additionally, we discussed how roles can differ across organizations, and how analytics engineers fit in the data supply chain.
In the next chapter, The Modern Data Stack, you will get an overview of the collection of tools and technologies that enable this life cycle, and how this shifted roles and technical barriers in the data landscape.
