How to Build a Scalable SQL-Based ETL Pipeline Using Apache Spark on Amazon EKS

How to Build a Scalable SQL-Based ETL Pipeline Using Apache Spark on Amazon EKS

 

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 In today’s data-driven landscape, organizations require efficient and scalable solutions for data extraction, transformation, and loading (ETL). A powerful approach is to leverage Apache Spark for distributed data processing and Amazon Elastic Kubernetes Service (EKS) for container orchestration. This podcast outlines how to build a robust SQL-based ETL pipeline with Spark on Amazon EKS.