Cloud Computing
Data Engineering using AWS Data Analytics
This course provides learners with practical knowledge and hands-on experience building modern cloud-based data engineering workflows using Amazon Web Services.
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Included with Skilldacity Membership
About This Course
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This course provides learners with practical knowledge and hands-on experience building modern cloud-based data engineering workflows using Amazon Web Services. This course explores how organizations collect, store, process, transform, and analyze large volumes of data using scalable AWS analytics and data management services. This course is designed to help professionals build foundational and intermediate-level skills required for working within today’s data-driven organizations and cloud-first technology environments.
What You’ll Learn
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- Understand modern data engineering principles and workflows
- Learn how AWS supports enterprise data analytics architectures
- Build scalable cloud-based data processing pipelines
- Work with AWS storage and analytics services
- Understand ETL and data transformation concepts
- Explore data lakes and cloud-based data management strategies
- Learn streaming and batch data processing fundamentals
- Understand data ingestion and workflow orchestration
- Gain exposure to structured and unstructured data handling
- Learn best practices for cloud data governance and scalability
- Explore analytics integration with AI and business intelligence platforms
- Understand enterprise data workflow optimization and automation
Skills You’ll Gain
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Career Path
Cloud Computing
Provider
Vendor Reference
Level
Intermediate
Certification
Certification Reference
Access
Included with eligible Skilldacity subscription
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