Build Scalable, Secure, and High-Performance Data Platforms on AWS with Confidence
Sub Category
- IT Certifications
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Objectives
- Strong, practical understanding of AWS-based data engineering and analytics architectures
- Ability to design scalable, cost-optimized, and reliable data pipelines on AWS
- Deep clarity on when and why to use services like S3, Glue, Athena, Redshift, EMR, Kinesis, Flink, and serverless analytics
- Confidence in handling batch and near real-time data processing scenarios
- Skills to optimize query performance, storage layouts, and operational costs
- Real-world understanding of monitoring, troubleshooting, and operating production data systems
- Awareness of recent AWS innovations such as serverless analytics, zero-ETL patterns, and modern lakehouse designs
Pre Requisites
- Basic understanding of databases and data concepts (tables, schemas, SQL fundamentals)
- Familiarity with cloud computing concepts is helpful but not mandatory
- Willingness to think through architecture scenarios instead of memorizing facts
- Interest in analytics, data pipelines, and large-scale data systems
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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