The fundamental-level course is typically designed for individuals with a basic understanding of data storage and processing concepts but little to no prior experience with building data lakes on AWS specifically. After a brief introduction to Data Lakes, we'll introduce data ingestion, cataloging and preparation, concluding with an overview of querying data with Amazon Athena. The course will continue with an AWS Lake Formation overview, including a hands-on lab where you'll build a data lake. We'll then introduce data processing and analytics leveraing AWS Glue before diving into automated data lake creatiokn using Lake Formation blueprints. Finally, we'll close with Modern Data Architectures on AWS with a lab that covers publishing and consuming data products as a service.
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Building Data Lakes on AWS
This course is part of AWS Cloud Solutions Architect Professional Certificate
Instructors: Rafael Lopes
35,275 already enrolled
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(296 reviews)
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What you'll learn
Apply data lake methodologies in planning and designing a data lake.
Describe the components and services required for building an AWS data lake.
Compare the ways data can be ingested, stored, and transformed in a data lake.
Explain how to secure a data lake with appropriate permissions.
Skills you'll gain
- Data Transformation
- Data Lakes
- Machine Learning
- Data Architecture
- Data Import/Export
- Data Storage
- Data Governance
- Amazon Web Services
- Data Management
- Data Processing
- Query Languages
- Data Engineering
- Amazon S3
- Data Warehousing
- Data Science
- Data Visualization
- Data Infrastructure
- AWS Identity and Access Management (IAM)
Details to know
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There are 6 modules in this course
This module provides an overview of data lakes, their purpose, and how they differ from data warehouses. It also covers the components and architectures involved in data lakes.
What's included
5 videos1 reading2 assignments1 plugin
This module focuses on the processes of ingesting data into a data lake, cataloging the data, and preparing it for analysis. It covers topics such as data lake storage, data ingestion methods, crawling and cataloging data, data formatting, partitioning, compression, and querying data with Amazon Athena.
What's included
10 videos1 reading1 assignment1 plugin
This module introduces AWS Lake Formation, a service that helps build and manage data lakes on AWS. It covers the basic permission model, and provides an overview of the service’s features and capabilities.
What's included
3 videos1 reading2 assignments1 app item
This module covers data transformation techniques and tools like AWS Glue for processing and analyzing data in the data lake. It includes hands-on demos and a technical talk on Glue and Athena Federated Queries.
What's included
7 videos1 assignment1 discussion prompt
This module explores advanced features and configurations of AWS Lake Formation, including blueprints, workflows, and fine-grained access control. It also covers data visualization with Amazon QuickSight.
What's included
5 videos2 assignments1 app item
This module introduces the concept of modern data architecture and its implementation on AWS. It covers data movement scenarios, data sharing models, and relevant readings.
What's included
6 videos3 readings2 assignments1 app item1 plugin
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Reviewed on Apr 7, 2024
great course. I keep coming back to it even after 2 years.
Reviewed on Feb 23, 2025
Great must learn course of data scientist professional.
Reviewed on Jul 31, 2022
thank for such nicely design course for learning and handson
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Frequently asked questions
Yes, you will need a credit card to activate your AWS account.
Learners enrolled in the Verified Certificate path will receive a certificate upon successful completion of the course.
This course has discussion groups aligned to each week of the course. We encourage learners to ask questions or offer suggestions and feedback. AWS Instructors will monitor the discussion groups to answer questions specific to the exercises and topics covered in the course.
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Financial aid available,