AWS ETL [Glue, Data Pipeline and Athena] Fundamentals

Welcome to this AWS Data Pipeline Course

We are very excited to get this course out to you. This course will take you from being a beginner to an expert in creating ETL Pipelines on the cloud using AWS Data Pipeline and AWS Glue.

In this course you will Learn by example, where we demonstrate all the concepts discussed so that you can see them working, and you can try them out for yourself as well.

My step–by–step training will initiate you into the world of AWS ETL Pipelines.

Amazon provides  ETL (Extract, Transform and Load) tools which integrate with different data storages. Once you prepare the data AWS allows you to query it using Athena and then build dashboards using Quicksight. What is important is you know which tool to use when. EMR is great when used with Hadoop but Glue is great for quick pipeline.

Why Learn AWS Data Pipeline/Glue/EMR/Athena?

Another Question: What tool should you use for Scalable Data Integration when you have data dispersed in multiple data sources and need it to be cleaned and transformed for analysis?

AWS Data Pipeline is a web service that allows customers to create automated data transport and transformation operations. In other words, it provides data extraction, loading, and transformation as a service. To use their data, users don’t need to build an expensive ETL or ELT platform; instead, they may use Amazon’s cloud environment. Data keeps growing as business activity grows, so the scalability of your pipeline is important.