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aws.amazon.com /1 month ago

Access Amazon S3 data files directly using AWS Lake Formation permissions

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 acc...

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aws.amazon.com /2 days ago

Multi-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices

This post focuses on explaining the architecture approach to build the open lakehouse architecture on AWS, unifying the metadata catalog across providers for the AI agents to acces...

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aws.amazon.com /1 week ago

Accelerating log analytics at scale with AWS Glue and Apache Iceberg materialized views

In this post, you learn how to build an application log pipeline for production use with Amazon CloudWatch Logs, AWS Lambda, Amazon Data Firehose, AWS Glue, and Apache Iceberg mate...

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aws.amazon.com /2 weeks ago

Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock

In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Con...

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aws.amazon.com /1 week ago

How BigBasket uses the Iceberg based lakehouse architecture on AWS to power lightning-fast grocery delivery across India

In this post, we demonstrate how BigBasket implemented the lakehouse architecture on AWS, including their architecture decisions, implementation approach, and the measurable busine...

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aws.amazon.com /2 weeks ago

Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake

In this post, we show you how to build an automated claims processing pipeline using two key Amazon Bedrock capabilities: Amazon Bedrock Data Automation for intelligent document ex...

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dzone.com /1 month ago

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

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aws.amazon.com /1 month ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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aws.amazon.com /1 week ago

Deploy modern data platforms in minutes with MDAA

In this post, we explore how MDAA transforms data architecture development from months of manual coding to production-ready deployment through configuration-driven infrastructure a...

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aws.amazon.com /1 month ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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aws.amazon.com /1 week ago

Cut costs and simplify operations with writable warm storage in Amazon OpenSearch Service

In this post, I show you how writable warm storage removes the costly migration cycle. You can reduce your infrastructure costs by up to 48 percent and update historical data in se...

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aws.amazon.com /1 week ago

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

This post shows how developers, data engineers, and analysts can connect to a secure Spark Connect endpoint in Athena with Apache Spark. You can use your preferred tools, such as J...

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aws.amazon.com /1 month ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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aws.amazon.com /1 week ago

Automate PostgreSQL audit log extraction and analysis with Amazon S3

In this post, we show you how to deploy an automated pipeline that extracts PostgreSQL audit logs from CloudWatch Logs, converts them into structured comma-separated values (CSV) f...

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aws.amazon.com /3 weeks ago

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You...

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aws.amazon.com /1 month ago

Meet Amazon Redshift RG – AWS Graviton-based instances with an integrated data lake query engine delivering up to 2.4x b...

On May 12, 2026, we announced the general availability of Amazon Redshift RG instances, powered by AWS Graviton processors. RG instances are up to 2.2x as fast for data warehouse w...

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aws.amazon.com /1 month ago

Build petabyte-scale synthetic test data with Amazon EMR on EC2

As data volumes grow from terabytes to petabytes, the architecture for generating synthetic data must evolve to meet increasing demands for scale, performance, and data quality. In...

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snowflake.com /4 weeks ago

Snowflake Well-Architected Framework: Build for the AI Era

Assess and optimize your Snowflake environment with the Well-Architected Framework: five pillars, automated CoCo assessments and Blueprint Manager guidance.

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aws.amazon.com /1 month ago

Automate data discovery and centralized management with AWS Glue Data Catalog

In this post, we show you how to tackle data discovery, classification, and governance across your databases, data warehouses, and object storage to regain visibility and control o...

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aws.amazon.com /2 weeks ago

Cross-account and cross-Region monitoring for Amazon RDS and Aurora with Database Insights

This post shows you how to set up centralized cross-account and cross-Region monitoring for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora databases using Amazon...

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dzone.com /1 month ago

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

A DynamoDB throttle alarm fires at 2 am. You confirm the spike in CloudWatch, then check ElastiCache in a second dashboard, then Redshift in a third. Cache hit rate dropped, which...

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artificialintelligence-news.com /1 day ago

AWS and Bluesight build AI for hospital 340B compliance

AWS (Amazon Web Services) has explained how Bluesight developed Prism, an AI layer that connects hospital pharmacy and compliance data across its product suite. Prism Assistant for...

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aws.amazon.com /1 month ago

Build stateful streaming applications with Apache Spark 4.0 on Amazon EMR Serverless

In this post, we demonstrate how to build a production-ready IoT device monitoring system using Spark 4.0’s transformWithState API on Amazon EMR Serverless. This example showcases...

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