Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

Original URL: https://aws.amazon.com/blogs/big-data/serverless-analytics-pipelines-using-the-apache-spark-engine-in-amazon-athena/

Article Written: July 2, 2026

Added: July 9, 2026

Type: product

Summary

The article discusses the challenges of managing Apache Spark clusters for data processing and introduces Amazon Athena's serverless Spark execution environment. It highlights three integration patterns that allow data teams to focus on analytics rather than infrastructure management. The article also details new features in the Apache Spark engine within Amazon Athena, including secure Spark Connect and advanced debugging capabilities. It provides practical workflows for using Jupyter notebooks, VS Code, and dbt with Apache Airflow for data engineering tasks.

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Basically you can invoke Spark job with AWS Athena API ...