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AWS Certified Data Engineer Associate

Learn to build, manage, secure, and optimize data pipelines, data lakes, and analytics solutions on AWS while preparing for the AWS Certified Data Engineer – Associate certification.

By Cosynced A.No ratings yet16 concepts · 69 challengesUpdated Oct 16, 2026

About this course

Build the skills to design, develop, and maintain modern data engineering solutions with Amazon Web Services (AWS) in this comprehensive course designed to prepare you for the AWS Certified Data Engineer – Associate (DEA-C01) exam. Explore the fundamentals of data engineering, including data ingestion, transformation, storage, processing, and pipeline orchestration. Learn how to collect and process large volumes of structured and unstructured data using AWS services and build scalable, reliable data pipelines for real-world applications. Discover how to implement extract, transform, and load (ETL) workflows using AWS Glue, process streaming data with Amazon Kinesis, and work with data processing technologies such as Amazon EMR and AWS Lambda. Explore data storage and analytics solutions using Amazon S3, Amazon Redshift, Amazon DynamoDB, and Amazon Athena. Learn how to design and manage data lakes, data warehouses, and databases while selecting appropriate storage technologies based on performance, scalability, and cost requirements. Understand data modeling, schema management, data quality, and data lifecycle management. You'll also explore how to automate and orchestrate data pipelines using AWS Step Functions, Amazon EventBridge, and Apache Airflow. Learn to monitor pipeline performance, troubleshoot processing failures, optimize resource utilization, and maintain reliable data operations. Understand the importance of data security and governance, including encryption, access controls, auditing, privacy, and compliance. Discover how AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and AWS Lake Formation help protect sensitive information and manage access to data resources. Through short, focused lessons, visual explanations, practical data engineering scenarios, and interactive challenges, you'll reinforce essential concepts, test your knowledge, and develop confidence in solving real-world data engineering problems. Whether you're a data analyst, software developer, database professional, or aspiring data engineer, this course will help you strengthen your AWS data engineering skills and prepare for the AWS Certified Data Engineer – Associate certification.

What you will learn

69 objectives across 16 concepts.

  • Exam Overview and Preparation GuidelinesFree

Data Ingestion and Pipeline Architecture

  • Data Ingestion Patterns and StrategiesFree
  • Transactions, Replayability, and IdempotencyFree
  • Event-Driven Architecture and MessagingFree

Data Storage and Modeling

  • Storage Service Selection and Use CasesFree
  • Data Modeling and Schema DesignFree
  • Open Table Formats and Data Lake GovernanceFree

Data Transformation and Processing

  • ETL Workflows with AWS Glue
  • Distributed Big Data Processing with Amazon EMR
  • Containerized Data Processing and Advanced Integration

Operations, Monitoring, and Performance Optimization

  • Pipeline Monitoring, Logging, and Troubleshooting
  • Cost and Performance Optimization
  • Infrastructure as Code and CI/CD Automation

Data Security and Governance

  • Authentication and Authorization Mechanisms
  • Data Encryption, Masking, and Anonymization
  • Data Governance, Sharing, and Compliance

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