Workflow Management, Monitoring, and Data Quality
In this chapter, we will delve into the crucial components of workflow management, event management, and data quality within the context of data integration. We will explore the fundamental concepts and significance of efficient workflow and event management in orchestrating data integration processes seamlessly. Key components such as workflow design, execution, scheduling, automation, error handling, and recovery will be discussed, along with best practices to ensure smooth and effective workflow management.
Event-driven architecture emerges as a powerful paradigm for event management, enabling real-time event processing, routing, monitoring, and alerting. We also explore the various monitoring techniques and tools that are essential for keeping a close eye on data integration workflows and ensuring their smooth functioning.
Data quality and data observability take center stage as vital factors for maintaining high-quality data...
