Amazon Web Services

Data Analytics and Databases on AWS

This course is part of AWS Cloud Technology Consultant Professional Certificate

Taught in English

Some content may not be translated

Rafael Lopes
Oksana Hoeckele

Instructors: Rafael Lopes

1,676 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(19 reviews)

Beginner level
No prior experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Key data types and structures

  • AWS services for the ETL process

  • Hands-on skills for Amazon API Gateway and Amazon QuickSight

Details to know

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Recently updated!

January 2024

Assessments

3 quizzes, 4 assignments

Course

Gain insight into a topic and learn the fundamentals

4.6

(19 reviews)

Beginner level
No prior experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Cloud Computing expertise

This course is part of the AWS Cloud Technology Consultant 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 3 modules in this course

Welcome to the first module of the course. This module introduces fundamental concepts in data analysis. You begin the module with how to assess use cases for data analysis in the cloud. Then, you explore some of the main data types and structures, and learn how metadata can help you manage datasets. Lastly, you complete the module by contrasting two data-processing approaches for analytics: extract, transform, and load (ETL) and extract, load, and transform (ELT).

What's included

8 videos7 readings2 assignments2 plugins

In this module, you start learning about the ETL pipeline, with an emphasis on the real-world scenario. Through each step, you learn how to gather data, ensure data quality, locate the appropriate storage or database, and evaluate insights. After you examine the ETL process, you assess SQL and NoSQL databases, and interact with a hands-on activity to practice your skills.

What's included

7 videos2 readings1 assignment1 ungraded lab

In this module, you review AWS services for data analysis, and reinforce your learning through practical labs. These services include Amazon API Gateway, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon QuickSight. You review these services in the AWS Management Console, and evaluate how you can use each service in the ETL process. Then, you gain practical experience by working with some of these service in a preconfigured environment.

What's included

9 videos2 readings3 quizzes1 assignment3 app items1 plugin

Instructors

Instructor ratings
5.0 (5 ratings)
Rafael Lopes
Amazon Web Services
14 Courses148,462 learners

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4.6

19 reviews

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Reviewed on Jan 10, 2024

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