AWS Big Data Blog
Autonomous troubleshooting for Medallion Architecture with AWS DevOps Agent and Apache Spark Troubleshooting Agent
In this post, we show you how to diagnose multi-layer Medallion Architecture pipeline failures in minutes using AWS DevOps Agent with Apache Spark Troubleshooting Agent integrated as an MCP server.
Build an analytics pipeline that is resilient to Avro schema changes using Amazon Athena
This post demonstrates how to build a solution by combining Amazon Simple Storage Service (Amazon S3) for data storage, AWS Glue Data Catalog for schema management, and Amazon Athena for one-time querying. We’ll focus specifically on handling Avro-formatted data in partitioned S3 buckets, where schemas can change frequently while providing consistent query capabilities across all data regardless of schema versions.

