Summary
In this chapter, you learned how to build, manage, and maintain data pipelines. As the first step of constructing data pipelines, you need to choose your data processing services based on your company/organization/team, supported software, cost, your data schema/size/numbers, your data processing resource limit (memory and CPU), and so on.
After choosing the data processing service, you can run data pipeline flows using workflow tools. AWS Glue provides AWS Glue workflows as workflow tools. Other tools you can use for this process include AWS Step Functions and Amazon Managed Workflows for Apache Airflow. We looked at each tool by covering examples.
Then, you learned how to automate provisioning workflows and data pipelines with provisioning tools such as CloudFormation and AWS Glue Blueprints.
Finally, you learned how to develop and maintain workflows and data pipelines based on CI and CD. To achieve this, AWS provides a variety of developer tools such...
