Amazon Web Services
Introduction to Designing Data Lakes on AWS
Amazon Web Services

Introduction to Designing Data Lakes on AWS

This course is part of AWS Cloud Solutions Architect Professional Certificate

Taught in English

Some content may not be translated

Rafael Lopes
Morgan Willis

Instructors: Rafael Lopes

Top Instructor

28,343 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(233 reviews)

|

96%

Intermediate level
Some related experience required
16 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

    • Where to start with a Data Lake?

    • How to build a secure and scalable Data Lake?

    • What are the common components of a Data Lake?

    • Why do you need a Data Lake and what it's value?

Details to know

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Assessments

8 quizzes, 1 assignment

Course

Gain insight into a topic and learn the fundamentals

4.8

(233 reviews)

|

96%

Intermediate level
Some related experience required
16 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 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 4 modules in this course

Welcome to the course! In Week 1, you'll discover why you may want a Data Lake, its characteristics and components, and how it compares to other data data scenarios, such as databases and data warehouses.

What's included

9 videos5 readings2 quizzes1 discussion prompt2 plugins

In Week 2, you'll build on your knowledge of what data lakes are and why they may be a solution for your needs. You'll explore AWS services that can be used in data lake architectures, like Amazon S3, AWS Glue, Amazon Athena, Amazon Elasticsearch Service, LakeFormation, Amazon Rekognition, API Gateway and other services used for data movement, processing and visualization.

What's included

10 videos5 readings2 quizzes

In Week 3, you'll explore specifics of data cataloging and ingestion, and learn about services like AWS Transfer Family, Amazon Kinesis Data Streams, Kinesis Firehose, Kinesis Analytics, AWS Snow Family, AWS Glue Crawlers, and others. You'll also discover when is the right time to process data--before, after, or while data is being ingested. Given scenarios, you'll be able to easily identify when to process data and match the most appropriate AWS services to each scenario.

What's included

9 videos3 readings1 quiz1 discussion prompt

In Week 4, you are going to dive deeper into data optimization and data processing. Demos around best practices will show you how to optimize your dataset for performance and cost--just by using the right tool for the job! You will also discover data security, data visualization tools, and AWS datasets you can use to experiment and get started.

What's included

11 videos6 readings3 quizzes1 assignment1 plugin

Instructors

Instructor ratings
4.9 (72 ratings)
Rafael Lopes

Top Instructor

Amazon Web Services
15 Courses164,130 learners

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4.8

233 reviews

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