Modern Data Engineering in Action: ETL Pipeline with Airflow, Spark, and DynamoDB
Update: 2025-11-14
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Modern Data Engineering in Action: ETL Pipeline with Airflow, Spark, and DynamoDB
Building a robust data engineering pipeline has become essential for organizations handling massive amounts of data daily. This podcast walks you through creating a production-ready ETL pipeline Apache Airflow orchestration system that combines the power of Apache Spark data processing with DynamoDB ETL capabilities.
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