A Primer on AWS Tools for ETL Processes

We believe that with the right tools and practices, extract, transform, and load (ETL) can be a powerful and streamlined process that enables organizations to leverage the full potential of their data assets. As we’ve moved through this book, we’ve started to shift the emphasis from the thought process and general structure of developing simple data pipelines to researching and leveraging various Python modules or Python-specific interfaces to create more powerful data pipelines. Within this chapter, we again expand on this idea of working directly with cloud-based interfaces that are language agnostic.

Amazon Web Services (AWS) is one of the most widely used platforms for company data integration systems. Its flexible pay scale and wide range of applications and resources enable this platform to be equally useful for both large-scale corporations and small-scale side projects at home. Entire books have been written about AWS...