Building Data Lakes on AWS offered by Coursera
- Estd. 2012
Building Data Lakes on AWS at Coursera Overview
Duration | 11 hours |
Start from | 19th Nov'25 |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website |
Credential | Certificate |
Building Data Lakes on AWS at Coursera Highlights
- Earn a certificate after completion of the course
- Assignments and projects for real world exposure
- Financial aid facility available
Building Data Lakes on AWS at Coursera Course details
Data engineers, architects, and developers interested in building scalable data lakes on AWS
Individuals looking to learn best practices for data storage, security, and processing using cloud technologies
Professionals involved in big data analytics, data warehousing, and machine learning
Understanding the concept of data lakes and their use cases
Differences between data lakes and traditional data warehouses
Overview of key AWS services like S3 (Simple Storage Service), AWS Glue, and Amazon Athena
Using AWS Lake Formation for managing access control, security, and data cataloging
Designing and architecting a data lake on AWS
Organizing data in the lake, managing storage, and integrating data from multiple sources
The course is designed to teach individuals how to build, manage, and analyze data lakes using Amazon Web Services (AWS).
data lake is a centralized repository that allows you to store vast amounts of structured, semi-structured, and unstructured data at any scale
The course covers the fundamentals of data lakes, architecture, and tools provided by AWS for building them
Building Data Lakes on AWS at Coursera Curriculum
Introduction to Data Lakes
Data ingestion, cataloging, and preparation
Building a data lake with AWS Lake Formation
Data processing and analytics
AWS Lake Formation additional configurations and capabilities
Modern data architecture on AWS
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