VOOZH about

URL: https://www.coursera.org/learn/aws-data-engineer-foundations

⇱ Data Engineering Foundations on AWS | Coursera

Data Engineering Foundations on AWS

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Data Engineering Foundations on AWS

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master different data types including structured, semi-structured, and unstructured

  • Become proficient in SQL by using joins, regex, and performing aggregations

  • Use AWS storage services such as S3, EBS, EFS, versioning, replication, and backups

  • Build and manage ETL pipelines to efficiently process data and create workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

Build your subject-matter expertise

This course is part of the AWS Certified Data Engineer Associate Exam Prep Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

Step confidently into the world of Data Engineering on AWS with this foundation-building course designed for beginners and professionals alike. In today's data-driven world, organizations require specialists who can design, optimize, and manage cloud pipelines, data models, and storage systems—and this course will provide you with just that.

You'll learn about structured, semi-structured, and unstructured data, as well as ETL pipeline orchestration and SQL basics for data engineers. Following AWS best practices, you'll acquire hands-on experience with Amazon S3, EBS, EFS, encryption, versioning, and lifecycle management—all while learning how to maintain data quality, lineage, and schema evolution. You will learn job-ready skills that meet AWS industry standards through videos, quizzes, real-world demos, and practice projects, putting you on track for cloud certifications and in-demand data engineering roles. Whether you're new to IT or a seasoned pro, this course will give you the skills, confidence, and useful resources you need to do well in the quickly growing field of cloud data engineering. Learn more than just data engineering. Enroll now! Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.

Gain a solid foundation in data engineering by exploring data types, warehouses, lakes, meshes, ETL pipelines, real-world data sources, modeling, lineage, sampling, skew handling, and data quality practices.

What's included

9 videos3 readings4 assignments

9 videos•Total 47 minutes
  • Course Introduction•6 minutes
  • Understanding Data Types•6 minutes
  • The 3Vs of Data: Volume, Velocity & Variety•5 minutes
  • Understanding Data Warehouse•6 minutes
  • Overview of Data Lakes•3 minutes
  • How ETL Pipelines Are Managed & Orchestrated•5 minutes
  • Overview: Data Modeling, Lineage & Schema Evolution•5 minutes
  • Understanding Sampling methods & best practices•4 minutes
  • Data Skew Demystified: Causes, Effects & Fixes•6 minutes
3 readings•Total 30 minutes
  • Introduction to Data Mesh•10 minutes
  • Exploring Real-World Data Sources & Formats•10 minutes
  • Profiling & Validating Data for Quality Assurance•10 minutes
4 assignments•Total 60 minutes
  • Core Data Concepts & Modeling•16 minutes
  • Data Practices and Optimization•8 minutes
  • Core Data Concepts & Modeling•24 minutes
  • Data Practices and Optimization•12 minutes

Build practical skills in SQL queries, joins, regex, and Git while mastering AWS storage services like S3, EBS, EFS, lifecycle rules, encryption, replication, and backup for real-world data management.

What's included

14 videos4 readings4 assignments

14 videos•Total 70 minutes
  • Quick SQL Recap: Aggregates, Grouping & More•6 minutes
  • SQL Joins Simplified: Exploring All the Types•8 minutes
  • SQL Regex Essentials•5 minutes
  • S3 Overview•4 minutes
  • Mastering S3 Bucket Policies•5 minutes
  • Demo:Creating S3 Bucket•4 minutes
  • Exploring S3 Versioning and Replication•4 minutes
  • Demo:S3 versioning•5 minutes
  • Understanding S3 Storage Classes •4 minutes
  • S3 Lifecycle Rules •4 minutes
  • Introduction to S3 Object Lambda and Storage Lens•4 minutes
  • Understanding Amazon EBS •6 minutes
  • Overview of EFS•6 minutes
  • Course Completion•3 minutes
4 readings•Total 40 minutes
  • What is Structured Query Language•10 minutes
  • Basic Git commands and operations•10 minutes
  • S3 Encryption and Access Points •10 minutes
  • AWS Backup•10 minutes
4 assignments•Total 75 minutes
  • SQL Essentials for Data Engineers•10 minutes
  • Understanding Storage•20 minutes
  • SQL Essentials for Data Engineers•15 minutes
  • Understanding Storage•30 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

181 Courses•223,226 learners

Explore more from Cloud Computing

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

If you want to become a data engineer, cloud professional, or just want to get into the data sector, this course is perfect for you.It can also help professionals who want to improve their AWS data skills, such as those who work in software development or IT infrastructure.

This course goes beyond theory by using AWS technologies in real-world situations and hands-on examples.It gives you useful information about how to manage data, from learning about data lakes to putting S3 versioning and backup plans into action.You will also study the most up-to-date methods for data modeling and schema evolution, which will make sure you have skills that are very useful in the current job market.

Yes, this course is designed to prepare students for the AWS Certified Data Engineer - Associate exam by covering key subjects, including data pipelines, data modeling, and AWS services such as S3 and EBS.

Yes, this course will teach you the basic skills you need to be a data engineer.You'll learn about important AWS products like S3, EBS, and SQL, as well as basic data engineering principles like data modeling, ETL pipelines, and making sure data is of good quality.

Data engineering is a field with a lot of job openings and knowing how to use AWS is a big plus for companies.You'll be ready for jobs like Data Engineer, Cloud Architect, or AWS Solutions Architect if you learn how to use data management tools like S3, EBS, and SQL. This will help you do well in today's employment market, which is all about data.

The course is broken up into small modules, each of which covers important topics including data types, data warehouses, SQL, and AWS services like S3 and EBS.You can learn at your own pace and on your own time.

Yes!People of all skill levels, even beginners, can take this course.It starts with the basics of data types, ETL processes, and basic AWS services like S3 and EBS. Then it moves on to more sophisticated topics.By the end, you'll be able to reliably handle data pipelines and use AWS data tools.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,