In this class, Introduction to Designing Data Lakes on AWS, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Starting with the "WHY" you may want a data lake, we will look at the Data-Lake value proposition, characteristics and components.
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
Instructors: Morgan Willis
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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?
Skills you'll gain
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8 quizzes, 1 assignment
Course
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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
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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.