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Data Analytics on AWS: An Architectural Guide
Become an AWS pro with hands-on experience in data analytics and management, developed by AWS Solution Certified Architects. No setup, no cleanup, no hassle.
4.8
40 Lessons
10h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of the different AWS data analytics services and their applications
- Hands-on experience using AWS tools for analytics and insights, including Amazon QuickSight and Amazon Athena
- Familiarity with data sources and AWS services for data migration
- Ability to create and manage AWS data lakes
Learning Roadmap
1.
Overview
Overview
Learn how to use AWS analytics services for data management and business insights.
2.
Data Sources
Data Sources
Discover the logic behind AWS data sources, including databases, file shares, devices, and SaaS applications.
3.
Data Ingestion
Data Ingestion
8 Lessons
8 Lessons
Explore the diverse AWS tools for seamless data migration, real-time streaming, and IoT integration.
4.
Scalable Data Lake
Scalable Data Lake
3 Lessons
3 Lessons
Grasp the fundamentals of Amazon S3 and AWS Lake Formation for scalable data lakes.
5.
Unified Governance
Unified Governance
2 Lessons
2 Lessons
Map out the steps for securing and governing data with AWS Lake Formation.
6.
Seamless Data Movement
Seamless Data Movement
3 Lessons
3 Lessons
Investigate AWS Glue and DataBrew for efficient ETL and data preparation on AWS.
7.
Purpose-Built Analytics and Insights
Purpose-Built Analytics and Insights
10 Lessons
10 Lessons
Build on the use of AWS analytics tools for real-time data analysis and insights.
Certificate of Completion
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Show License and Attributions
Developed by MAANG Engineers
ABOUT THIS COURSE
Due to the widespread adoption of the internet and the prevalence of connected devices, a large amount of data is generated every second. This abundance of data allows businesses to gather valuable insights and reinvent their businesses. Amazon Web Services (AWS) offers a range of solutions to help address these challenges.
This course provides an overview of the data management and analytics services provided by AWS. You’ll begin with understanding different databases and how to migrate data between them. Then, you’ll learn about Amazon Simple Storage Service (S3) and set up data lakes. Next, you’ll learn about AWS data security features, including S3 encryption, Lake Formation access controls, and audit logging. You’ll also set up and run Extract, Transform, and Load (ETL) workflows on AWS Glue. You’ll finish with in-depth purpose-built analytics tools in AWS.
By the end of this course, you’ll have mastered the data analytics and management tools that AWS offers.
ABOUT THE AUTHOR
GroveFlow Inc
GroveFlow supports companies and their staff members in gaining insights from their mission-critical data.
Trusted by 2.9 million developers working at companies
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Anthony Walker
@_webarchitect_
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Evan Dunbar
ML Engineer
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Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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