Amazon Web Services

Building Data Lakes on AWS

Rafael Lopes
Alex G.

Instructors: Rafael Lopes

31,291 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(267 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(267 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
95%
Most learners liked this course

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.

Details to know

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Assessments

10 assignments

Taught in English

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Build your Data Analysis expertise

This course is part of the AWS Cloud Solutions Architect Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 from Amazon Web Services
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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

Instructors

Instructor ratings
4.9 (80 ratings)
Rafael Lopes
Amazon Web Services
15 Courses188,014 learners
Alex G.
Amazon Web Services
9 Courses60,419 learners

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Learner reviews

4.7

267 reviews

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