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Mastering DataOps: Orchestrating AWS Glue Workflows

The implemented stages of ingestion, preprocessing, EDA, and feature engineering have transitioned to automation and monitoring, forming a cohesive DataOps layer. By introducing orchestration, the independent Glue jobs become an automated, reliable workflow. Testing confirmed successful execution, paving the way for regular automations to enhance operations and insights from data.

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Real-Time Data Pipeline Monitoring Using AWS Lambda

The post discusses the evolution of a data pipeline, highlighting the integration of an API-driven layer for enhanced observability. This new functionality allows authorized users to access real-time operational status without manual checks across AWS services. The approach improves transparency, accountability, and agility while enabling proactive monitoring and automated responses in future enhancements.