Tutorial – Creating an ETL Pipeline in AWS
In today’s cloud-based landscape, Amazon Web Services (AWS) offers a suite of tools that allows data engineers to build robust, scalable, and efficient ETL pipelines. In the previous chapter, we introduced you to some of AWS’s most common resources within its platform, as well as set up your local environment for development with AWS tools. This chapter will guide you through the process of leveraging these tools, illustrating how to architect and implement an effective ETL pipeline in the AWS environment. We will walk you through the creation of a deployable ETL pipeline in Python Lambda Functions and AWS Step Functions. Finally, we’ll create a scalable pipeline using Bonobo, EC2, and RDS. These tools will help all of your data pipelines harness the power of the cloud.
The chapter will cover the following topics:
- Creating a Python pipeline with AWS Lambda and Step Functions:
- Setting up the AWS CLI in...
