Data Engineering on AWS - Foundations

Posted 6 hours 38 minutes ago by Amazon Web Services (AWS)

Study Method : Online

Duration : 1 weeks

Subject : IT & Computer Science

Overview

Explore core data engineering responsibilities, pipelines, security, and AWS tools to build automated data solutions.

Course Description

Discover data engineering foundations and AWS data solutions

Navigating modern data environments requires mastering core engineering roles and data discovery. Examining foundational architectures reveals how AWS services automate pipelines using Infrastructure as Code and serverless designs.

Explore secure data pipelines using AWS services

Mastering networking strategies, authentication, and security mechanisms helps safeguard critical data solutions. Evaluating monitoring and cost optimisation tools ensures long-term operational efficiency and validates technical skills.

Please note that to access the course content for this AWS course, you will go via an LTI link(s) to the AWS platform; you can then return to the FutureLearn course in order to receive your certificate.

This course is ideal for data engineers, data analysts, data architects, and business intelligence engineers

Requirements

This course is ideal for data engineers, data analysts, data architects, and business intelligence engineers

Career Path

Describe the data engineering role and personas they work with.
Identify how to perform data discovery to help define requirements and review considerations.
Identify common data architectures and appropriate AWS services.
Recognize how to orchestrate and automate data pipelines using AWS services.
Identify AWS security and monitoring services.
Identify common CI/CD tools used by data engineers on AWS.
Identify IaC tools used by data engineers on AWS.
Describe AWS Serverless Application Model (AWS SAM).
Identify AWS cost optimization tools.
Identify different AWS security mechanisms.