- AWS Identity and Access Management (IAM)
- Data Engineering
- Amazon Web Services
- Data Processing
- Data Governance
- Data Visualization Software
- Data Warehousing
- Data Storage
- Extract, Transform, Load
- Query Languages
- Data Architecture
- Data Transformation
Building Data Lakes on AWS
Completed by HEMA SAI MANIKAN SANIGEPALLI
January 20, 2023
11 hours (approximately)
HEMA SAI MANIKAN SANIGEPALLI's account is verified. Coursera certifies their successful completion of Building Data Lakes on AWS
What you will learn
Apply data lake methodologies in planning and designing a data lake.
Describe the components and services required for building an AWS data lake.
Compare the ways data can be ingested, stored, and transformed in a data lake.
Explain how to secure a data lake with appropriate permissions.
Skills you will gain
