Orchestration and Workflow Management
Description
Data pipeline orchestration using AWS Step Functions, Apache Airflow (MWAA), and other workflow management tools for complex data processing workflows.
Learning Objectives
Learners will master workflow orchestration concepts, implement complex data pipelines using AWS Step Functions and MWAA, design error handling and retry mechanisms, and create scalable workflow management systems for enterprise data engineering.
Topics (6)
Workflow concepts, orchestration patterns, scheduling strategies, and dependency management for data processing workflows.
MWAA setup, DAG development, scheduling, monitoring, and integration with AWS services for data engineering workflows.
Event-driven patterns, EventBridge integration, event routing, and reactive workflow design for data processing.
Error handling patterns, retry mechanisms, circuit breakers, and failure recovery strategies for data pipelines.
Workflow monitoring, performance optimization, scaling strategies, and operational best practices for workflow systems.
Step Functions state machines, workflow design, parallel processing, error handling, and integration with AWS services.