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AWS Data Engineering Certification Prep
·
Module 8
Data Pipeline Orchestration
1
AWS Step Functions Core Components
Describe the core components of an AWS Step Functions state machine (e.g., Task, Choice, Parallel, Map).
2
Orchestrating ETL with Step Functions, Glue, and Lambda
Design a Step Functions workflow to orchestrate a multi-step ETL process involving Glue and Lambda.
3
Building Resilient Step Functions with Error Handling and Retries
Implement error handling and retry logic within a Step Functions state machine.
4
Event-Driven Data Pipelines with Amazon EventBridge
Configure Amazon EventBridge rules to trigger data pipelines based on schedules or events.
5
S3 Event Notifications vs. EventBridge: A Comparison
Compare event-driven patterns: direct S3 event notifications vs. routing through EventBridge.
6
Step Functions vs. Data Pipeline for Workflow Orchestration
Compare AWS Step Functions with the legacy AWS Data Pipeline service for workflow orchestration.
7
Lambda for Event-Driven Data Transformations
Integrate Lambda functions into data pipelines for lightweight, event-driven transformations.
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Interactive Querying and Data Lake Governance
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Monitoring, Optimization, and Troubleshooting