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Introduction to Designing Data Lakes on AWS

Amazon Web Services

About this Course

18,532 recent views

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.
Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 14 hours to complete

English

Subtitles: English

What you will 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 will gain

Data Science
Analytics
Big Data
Data Lake
Amazon Web Services (Amazon AWS)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 14 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.81/5 (36 Ratings)

Rafael Lopes

Senior Cloud Technologist

AWS Training & Certification

42,199 Learners

7 Courses

Morgan Willis
Top Instructor

Senior Cloud Technologist

AWS Training & Certification

441,959 Learners

15 Courses

Offered by

Amazon Web Services

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.

Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.

Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

Week 1

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.

2 hours to complete

8 videos (Total 29 min), 5 readings, 1 quiz

8 videos

Introduction to Designing Data Lakes in AWS3m

Meet the Instructors1m

Introduction to Week 12m

Why Data Lakes3m

Characteristics of Data Lakes2m

Data Lakes Components5m

Comparison of a Data Lake to a Data Warehouse4m

Discussing Sample Data Lake Architectures5m

5 readings

Course Welcome and Student Information10m

Pre-Course Survey2m

Data Lake Characteristics and Components15m

Data Lakes and Data Warehouses20m

Mid-Course Survey2m

1 practice exercise

Week 1 Quiz20m

Week

Week 2

4 hours to complete

Week 2

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.

4 hours to complete

9 videos (Total 45 min), 4 readings, 2 quizzes

9 videos

Introduction to Week 255s

AWS Data Lake Related Services4m

Amazon S35m

AWS Glue Data Catalog4m

AWS Services Used for Data Movement8m

AWS Services for Data Processing6m

AWS Services for Analytics6m

AWS Services for Predictive Analytics and Machine Learning5m

Introduction to AWS LakeFormation3m

4 readings

Amazon S3 and Glue Data Catalog15m

Data Movement20m

EMR, Glue Jobs, Lambda, Kinesis Analytics, RedShift20m

AWS Lake Formation15m

1 practice exercise

Week 2 Quiz20m

Week

Week 3

3 hours to complete

Week 3

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.

3 hours to complete

9 videos (Total 58 min), 3 readings, 2 quizzes

9 videos

Introduction to Week 31m

Use the Right Tool for the Job4m

Understanding Data Structure and When To Process Data6m

Data Streaming Ingestion With Kinesis Services8m

Batch Data Ingestion with AWS Transfer Family13m

Batch Data Ingestion with AWS Snow Family3m

Data Cataloging5m

Using Glue Crawlers12m

Reviewing the Ingestion Part in Data Lake Architectures3m

3 readings

Diving Deep on Amazon Kinesis15m

Batch Data Ingestion with AWS Services15m

The Importance of Data Cataloging15m

1 practice exercise

Week 3 Quiz20m

Week

Week 4

5 hours to complete

Week 4

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.

5 hours to complete

10 videos (Total 70 min), 5 readings, 3 quizzes

10 videos

Introduction to Week 440s

Data Prep and AWS Glue Jobs9m

File Optimizations5m

Using S3, Glue and Athena to Get Insights about NYC Taxi Data14m

Introduction to Data Lake Security9m

The Power of Data Visualization4m

Introduction to Amazon QuickSight7m

Amazon QuickSight Demo11m

Registry of Open Data on AWS5m

Course Wrap Up1m

5 readings

Columnar Data Formats and Amazon Athena Optimizations10m

Security and Compliance10m

Data visualization, Amazon QuickSight20m

Registry of Open Data10m

Post-Course Survey2m

2 practice exercises

Week 4 Quiz20m

Final Assessment40m

Reviews

4.7

34 reviews

5 stars
76.04%
4 stars
15.62%
3 stars
8.33%

TOP REVIEWS FROM INTRODUCTION TO DESIGNING DATA LAKES ON AWS

by RKFeb 11, 2021

A very good first introductory course to data lakes and how to implement them using AWS services.

by VAApr 8, 2021

liked so far, good speed and good to know knowledge about the product offering and concepts.

by AAMar 22, 2022

Exactly beneficial for those who are seeking to understand the basics of data analytics services

by MTApr 8, 2021

Great course, great instructors, I learned a lot. Thanks.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
Do I need a credit card to create an AWS Account?
Yes, you will need a credit card to activate your AWS account.
Will I receive a certificate for this course?
Learners enrolled in the Verified Certificate path will receive a certificate upon successful completion of the course.
How are discussions used in this 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.
Will this course help me prepare for an AWS Certification?
Earning an AWS Certification typically requires both knowledge and experience. While this course, if taken in isolation, will provide you with relevant information and skills, it likely will not equip you to earn an AWS Certification. For more information about AWS Certifications, including recommended training and experience requirements, visit aws.amazon.com/certification.

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Introduction to Designing Data Lakes on AWS

Introduction to Designing Data Lakes on AWS