AWS Big Data Blog

In this post, we show how the next-generation OpenSearch Serverless architecture makes the collection-per-tenant model practical for multi-tenant search.

In Part 1 of this series, we showed how to simplify enterprise data access using the Amazon Redshift integration with Amazon S3 Access Grants. In this post, we extend that solution across AWS Regions. We introduce a fictional company, AnyCompany Global, to illustrate how organizations with global operations can use AWS IAM Identity Center Multi-Region to set up consistent, identity-based access to Amazon Redshift and Amazon S3 Tables across Regions.

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.

In this post, you learn how tombola followed a strict engineering principle: no changes to production without evidence. That meant a head-to-head comparison of RA3 versus RG on their actual workload. You also see benchmark results on Amazon S3 Tables and the migration from RA3 to RG instances.

Amazon SageMaker Data Agent launches three new capabilities in Amazon SageMaker Unified Studio notebooks: SQL analytics on Snowflake data sources, materialized view management, and interactive charting. Practitioners can use them together to query Snowflake alongside AWS data, pre-compute and schedule repeated aggregations, and create interactive visualizations from natural language prompts in a single notebook, without writing boilerplate code or switching tools. In this post, we describe the challenges these capabilities address, introduce each one, and walk through a fraud analytics scenario that demonstrates them working together in an end-to-end investigation workflow.

In this post, we explore how Nexthink combined Amazon OpenSearch Service vector search, Amazon Bedrock, and infrastructure as code to power the Spark agent’s retrieval layer.

In this post, we explain how Private Networking for Amazon MQ for RabbitMQ works and walk through the setup process. Whether you’re securing a private identity provider, federating messages between brokers, or connecting to self-hosted RabbitMQ, your broker can now reach private destinations without exposing them publicly.

With the AWS Toolkit for Visual Studio Code, you can connect Kiro, VS Code, or Cursor directly to Amazon SageMaker Unified Studio. This post demonstrates the integration using Kiro. The same Remote Access connection works with VS Code and Cursor. The post starts by showing what you can do with this integration: using natural language to explore and analyze data in a governed environment. We then walk through the setup so you can try it yourself.

In this post, you learn how to migrate Amazon Redshift RA3 clusters to Graviton-based RG instances. We compare the Elastic Resize, Classic Resize, and Snapshot/Restore migration strategies, with key considerations and best practices to support a smooth migration. We also provide mapping guidance from RA3 to RG to help you right-size your cluster.

In this post, we demonstrate reading from and writing to Lake Formation-managed S3 locations using Apache Spark jobs from EMR. Lake Formation credential vending for S3 location access is available in EMR release label 7.13 and later, Boto3 1.42.29 and later, AWS Java SDK 2.41.32 and later, and AWS Command Line Interface (AWS CLI) version 2.33.1 and later.