Defining a simple workflow using AWS Glue workflows

In this recipe, we will explore the world of AWS Glue workflows. AWS Glue workflows are powerful tool for orchestrating complex extract, transform, and load (ETL) processes on AWS. By combining jobs, crawlers, and triggers, workflows can automate data pipelines, ensuring data is consistently processed and delivered to its intended destinations. This makes them ideal for a variety of data-driven applications, from data warehousing and analytics to machine learning and real-time data processing.

Imagine a retail company that needs to load sales data from multiple sources into its data lake on Amazon S3. The data comes in raw CSV format, and the goal is to transform this data into a structured format that can be used for reporting and analysis. The data is updated daily, and you need an automated pipeline to clean, transform, and store this data.

In this scenario, you can leverage an AWS Glue workflow, crawler, job, and trigger...