AWS Certified Data Engineer - Associate Certification

AWS Certified Data Engineer - Associate Certification Training - Certification & Exam

This course outline covers the critical domains of data engineering on AWS, emphasizing data ingestion and transformation, data store management, data operations and support, and data security and governance. Mastering these areas will prepare you to design, implement, and manage robust data solutions on AWS

Domain 1: Data Ingestion and Transformation 

Key Focus Areas:

Data Ingestion:

• Designing and implementing data ingestion pipelines.
• Using AWS services for real-time and batch data ingestion (e.g., Amazon Kinesis, AWS Data Pipeline, AWS Glue).
• Managing data flow and ensuring reliable data capture from various sources.

Data Transformation:

• Designing ETL (Extract, Transform, Load) processes.
• Using AWS Glue, AWS Lambda, and Amazon EMR for data transformation.
• Handling different data formats (e.g., JSON, CSV, Parquet).
• Performing data cleaning, normalization, and enrichment.

Data Integration:

• Integrating data from multiple sources and formats.
• Using AWS Step Functions for orchestrating data workflows.
• Ensuring data consistency and accuracy during the transformation process.

Domain 2: Data Store Management 

Key Focus Areas:

Data Storage Solutions:

• Designing and implementing data storage solutions on AWS.
• Using Amazon S3 for data lakes and scalable storage.
• Using Amazon RDS and Amazon DynamoDB for transactional databases.

Data Warehousing:

• Implementing data warehouses using Amazon Redshift.
• Designing schema, optimizing queries, and managing data warehousing workloads.

Data Management:

• Managing data lifecycle policies and optimizing storage costs.
• Using AWS Storage Gateway and AWS Backup for data backup and recovery.
• Implementing data archiving solutions.

Domain 3: Data Operations and Support 

Key Focus Areas:

Data Monitoring and Optimization:

• Monitoring data pipelines and storage solutions using Amazon CloudWatch and AWS CloudTrail.
• Optimizing data workflows and improving performance.
• Troubleshooting and resolving data pipeline issues.

Data Operations:

• Automating data operations with AWS Lambda and AWS Step Functions.
• Implementing event-driven architectures for data processing.

Data Support:

• Providing ongoing support for data infrastructure.
• Ensuring high availability and reliability of data systems.
• Implementing incident response procedures.

Domain 4: Data Security and Governance 

Key Focus Areas:

Data Security:

• Implementing data security best practices.
• Using AWS Identity and Access Management (IAM) for access control.
• Encrypting data at rest and in transit using AWS Key Management Service (KMS) and AWS Certificate Manager.

Data Governance:

• Ensuring data privacy and compliance with regulatory requirements.
• Implementing data governance frameworks and policies.
• Using AWS Config and AWS CloudTrail for auditing and monitoring compliance.

Data Protection:

• Implementing backup and disaster recovery solutions.
• Ensuring data integrity and availability.
• Using Amazon Macie and AWS Glue Data Catalog for data classification and discovery.

Benefits of Certification:

• Validates skills in data engineering on AWS
• Demonstrates ability to design and implement data solutions
• Enhances career prospects in the growing field of data engineering
• Potential for higher salaries and job opportunities
• Access to AWS Certification community and resources