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January 28, 2025
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This course is part of AWS Cloud Solutions Architect Professional Certificate
Instructors: Rafael Lopes
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(278 reviews)
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Beginner level
We recommend that attendees of this course have previously completed the AWS Cloud Technical Essentials digital course.
(278 reviews)
Recommended experience
Beginner level
We recommend that attendees of this course have previously completed the AWS Cloud Technical Essentials digital course.
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.
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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.
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.
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.
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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.
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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.
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.
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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.
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We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Jan 28, 2021
Great overview of AWS data lakes already using it at work.
Reviewed on Apr 7, 2024
great course. I keep coming back to it even after 2 years.
Reviewed on Jul 31, 2022
thank for such nicely design course for learning and handson
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