About this Course

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Intermediate Level
Approx. 13 hours to complete
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 ScienceAnalyticsBig DataData LakeAmazon Web Services (Amazon AWS)
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 13 hours to complete
English

Offered by

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Amazon Web Services

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Week 1

2 hours to complete
8 videos (Total 29 min), 3 readings, 1 quiz
8 videos
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
3 readings
Course Welcome and Student Information10m
Data Lake Characteristics and Components15m
Data Lakes and Data Warehouses20m
1 practice exercise
Week 1 Quiz20m
Week
2

Week 2

4 hours to complete

Week 2

4 hours to complete
9 videos (Total 45 min), 4 readings, 2 quizzes
9 videos
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
3

Week 3

3 hours to complete

Week 3

3 hours to complete
9 videos (Total 58 min), 3 readings, 2 quizzes
9 videos
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
4

Week 4

4 hours to complete

Week 4

4 hours to complete
10 videos (Total 70 min), 4 readings, 3 quizzes
10 videos
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
4 readings
Columnar Data Formats and Amazon Athena Optimizations10m
Security and Compliance10m
Data visualization, Amazon QuickSight20m
Registry of Open Data10m
2 practice exercises
Week 4 Quiz20m
Final Assessment40m

Frequently Asked Questions

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