Learn AWS Data Engineering

ETL & BI on AWS Cloud

Ratings: 3.38 / 5.00




Description

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

What You Will 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

Who Should Attend!

  • Beginner python developers curious for data science
  • Data engineers
  • BI/ ETL Developers
  • Data Scientists / Analysts
  • Anyone from technical background who wants to learn Data engineering in AWS
  • Software developers who want to learn different ways to ingest data into AWS and build a datawarehouse