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aws.amazon.com /1 month ago

Choosing the right workflow orchestration service for your use case: Amazon MWAA and AWS Step Functions

This post explores how to select the right workflow orchestration service based on your specific use case requirements. We'll examine key workflow characteristics, present real-wor...

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dzone.com /1 month ago

Amazon Quick: AWS's Agentic Workspace, Explained for Engineers

AWS has been building agentic infrastructure for some time now — Bedrock, AgentCore, Strands — mostly aimed at engineers who want to build their own agent systems from scratch. Ama...

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aws.amazon.com /3 weeks ago

Running ComfyUI workflows on Amazon SageMaker AI processing jobs

In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. You learn ho...

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snowflake.com /4 weeks ago

Snowflake Adaptive Compute Is Now Generally Available

Snowflake Adaptive Compute is now GA on AWS. Automate warehouse management, boost throughput and achieve better price-performance for demanding AI and data workloads.

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javacodegeeks.com /3 weeks ago

Data Processing in GCP With Apache Airflow and BigQuery

Modern data engineering rarely lives on a single machine. As datasets grow from gigabytes into terabytes — and sometimes into petabytes — teams need orchestration tools that can sc...

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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 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 /3 weeks ago

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...

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aws.amazon.com /1 month ago

Migrating data from Oracle to Amazon Aurora DSQL

This post walks through migrating data from an Oracle source to Amazon Aurora DSQL, using AWS DMS, Amazon S3, AWS Glue, and AWS Step Functions to create an automated, cost-effectiv...

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aws.amazon.com /2 weeks ago

Building agentic AI applications with a modern data mesh strategy on AWS

This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.

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aws.amazon.com /1 month ago

Capture data lineage of Amazon EMR spark jobs into Amazon SageMaker Unified Studio

In this post, you’ll walk through a practical, step-by-step example that shows how to capture and track data lineage from Spark jobs running on Amazon EMR directly into Amazon Sage...

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aws.amazon.com /1 month ago

Automate AML alert triage with Amazon Quick and Snowflake Cortex AI

This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will...

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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

Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime

This post shows you how to use Amazon Bedrock AgentCore Runtime with Model Context Protocol (MCP) support to connect Amazon Quick with AWS services through the AWS API MCP Server,...

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aws.amazon.com /1 month ago

Streamline external access to Amazon SageMaker MLflow using a REST API proxy

In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This sol...

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aws.amazon.com /1 week ago

Introducing Apache Spark Connect support in AWS Glue interactive sessions

Apache Spark Connect bridges the gap between these two worlds: you develop in local Python, but execute on AWS Glue against actual data. Today, AWS Glue interactive sessions suppor...

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aws.amazon.com /3 weeks ago

Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick

This post shows how to enable Adobe Marketing Agent for Amazon Quick using a Model Context Protocol (MCP). We walk you through how to configure the integration, authenticate using...

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aws.amazon.com /5 days ago

Scaling agentic workflows with native case management in Amazon Quick Automate

In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in...

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aws.amazon.com /1 month ago

How Buildkite Operates Test Analytics at Massive Scale with Amazon MSK and Amazon Managed Service for Apache Flink

In this post, we explore how Buildkite uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink to power Test Engine’s streaming-firs...

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aws.amazon.com /1 month ago

Announcing Spark Connect on Amazon EMR Serverless: Interactive PySpark development, anywhere

Today, AWS is announcing support for Spark Connect on Amazon EMR Serverless with EMR release 7.13 (Apache Spark 3.5.6) and later versions. You can now build and debug Spark applica...

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aws.amazon.com /2 weeks ago

Scale analytics with Amazon Redshift multi-warehouse enhancements

In this post, we introduce new capabilities of Amazon Redshift that enhance our multi-warehouse and scaling capabilities: remote materialized view (MV) operations, remote table DDL...

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aws.amazon.com /6 days ago

Accelerate database modernization with agentic AI in AWS DMS Schema Conversion

Starting today, you can use AI agents to orchestrate entire AWS DMS Schema Conversion (DMS SC) workflows through natural language. An AI agent manages the full lifecycle, including...

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aws.amazon.com /1 month ago

Automate deployment of data and AI applications with Amazon SageMaker Unified Studio CI/CD CLI

The CI/CD CLI for Amazon SageMaker Unified Studio (aws-smus-cicd-cli) is an open source command line tool that automates deployment of multi-service data and AI applications across...

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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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