Learn AWS Data Engineering

ETL & BI on AWS Cloud

A hands on course that covers majority of the typical data engineering / ETL scenarios.

What you’ll learn

• Data engineering concepts and AWS services.
• Fetching data from external Rest Api.
• Fetching data from SFTP server.
• Ingesting data into a Database.
• Creating Serverless Data Lake using S3 and Athena.
• Creating Glue ETL jobs and Workflows.
• Transforming data into Parquet format.
• Learn how to store data in S3 Data lakes using Parquet columnar file formats.

Course Content

• Introduction –> 1 lecture • 6min.
• Data Engineering Services –> 8 lectures • 27min.
• Live Demos –> 5 lectures • 49min.

Requirements

A hands on course that covers majority of the typical data engineering / ETL scenarios.

In this course you will learn:

• Different services and concepts of AWS data engineering
• Creating serverless data lake using S3, Glue and Athena
• Ingesting data using Rest Api
• Ingesting data using Sftp server
• Ingesting data into Database (AWS RDS – Postgre SQL)
• Incremental data loading

Prerequisites:

• An active AWS account
• Python / SQL knowledge