Introduction
-An Overview of traditional ETL in comparison to AWS Glue
-An Overview of AWS Glue
-Demo: Creating an ETL Solution Using AWS Glue
-Some Use Cases for Using AWS Glue
-Summary

What you will gain from this course:
-An understanding of Serverless ETL which means extract, transform, and loading of data.
-Knowledge of architecture of a typical ETL project between source data and destination databases, data warehouse, or Big Data destinations.
-Understanding of prerequisite setup of AWS parts to use AWS Glue for ETL.
-Knowledge of how to use AWS Glue to perform Serverless ETL.
-How to edit ETL processes created from Glue.

Pre-requisites:
-Understanding of one or more of the data destinations offered by AWS.
-An awareness of data warehousing principles.
-Helpful: understanding of Serverless computing. See video: What Serverless Computing?
-Understanding of object-oriented programming, such as Python.