Latest updates for Amazon Managed Service For Apache Flink

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Recent items include:

  • Build a dynamic streaming data lake with Apache Iceberg and Apache Flink
  • Streamline Apache Kafka cluster operations and migrations with Agent Skills for Amazon MSK
  • Deliver Apache Kafka data to streaming tables for Apache Iceberg with Amazon MSK Express brokers

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aws.amazon.com /6 days ago

Build a dynamic streaming data lake with Apache Iceberg and Apache Flink

Learn how to build a dynamic streaming data lake on Amazon Managed Service for Apache Flink that adapts to new event types and schema changes without stopping the pipeline, using A...

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aws.amazon.com /1 month ago

Streamline Apache Kafka cluster operations and migrations with Agent Skills for Amazon MSK

Agent Skills for Amazon MSK bring broker-type-aware expertise to operating and migrating Apache Kafka clusters. In this post, we walk through installing the managing-amazon-msk and...

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aws.amazon.com /1 month ago

Deliver Apache Kafka data to streaming tables for Apache Iceberg with Amazon MSK Express brokers

Announcing delivery to streaming tables on Apache Iceberg for Amazon MSK Express brokers, a fully managed capability that continuously materializes your Kafka streaming data as que...

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aws.amazon.com /1 month ago

High-performance Remote Shuffle Service on Amazon EMR with Apache Celeborn

In this post, we show how Apache Celeborn resolves this trade-off for Amazon EMR on EKS and Amazon EMR on EC2, improving job reliability while unlocking additional cost savings.

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aws.amazon.com /3 weeks ago

How AppFolio transformed its data streaming architecture with Amazon MSK Express brokers

Learn how AppFolio transformed its data streaming architecture by adopting Amazon MSK Express brokers, replacing hours-long rebalances and manual storage planning with a platform t...

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aws.amazon.com /1 week ago

Accelerate Apache Spark debugging on Amazon EMR with AWS DevOps Agent

Extend AWS DevOps Agent to investigate Apache Spark failures on Amazon EMR. This post shows how to register the Apache Spark Troubleshooting Agent for Amazon EMR as a custom MCP ca...

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aws.amazon.com /1 week ago

Deliver real-time data to streaming tables for Apache Iceberg with Amazon Kinesis Data Streams

Amazon Kinesis Data Streams now supports streaming tables, a fully managed capability that continuously delivers your streaming data as queryable Apache Iceberg tables on Amazon S3...

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aws.amazon.com /1 month ago

Introducing Apache Spark troubleshooting agent for Amazon EMR on EKS

In this post, we show you how to set up the agent for Amazon EMR on EKS and walk through troubleshooting a failed job run. We demonstrate the workflow from both the Amazon EMR cons...

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aws.amazon.com /4 weeks ago

AI-powered cost optimization agent for Amazon Kinesis Data Streams

Learn how to deploy an open-source, AI-powered agent built on Amazon Bedrock that automatically analyzes every Amazon Kinesis Data Streams stream in your account, compares costs ac...

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aws.amazon.com /2 weeks ago

GPU-accelerated Apache Spark with Amazon EMR and NVIDIA RTX PRO 4500 on Amazon EC2 G7 instances runs up to 3.7x faster

Amazon EMR on EKS now runs Apache Spark up to 3.7x faster on Amazon EC2 G7 instances with NVIDIA RTX PRO 4500 Blackwell GPUs than on comparable CPU instances, with no changes to ex...

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aws.amazon.com /1 month ago

Accelerate Spark on EMR Serverless with larger workers and shuffle-optimized disks

Amazon EMR Serverless now supports a 32 vCPU / 244 GB worker configuration for the most demanding Spark jobs. Across 126 TPC-DS and TPC-H queries, larger workers delivered an avera...

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aws.amazon.com /1 week ago

Build a real-time event pipeline with Spark Real-Time Mode on AWS Glue 6.0

With AWS Glue 6.0, you can build real-time, near-real-time, and batch data pipelines on a single platform. Using a financial market-risk example, learn how to flag high-risk trades...

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aws.amazon.com /1 month ago

Optimizing costs and performance with Advanced Managed Scaling on Amazon EMR on EC2

In this post, we discuss the benefits of Advanced Scaling for Amazon EMR on Amazon EC2 and demonstrate how it works through some example scenarios. You'll learn when to prioritize ...

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aws.amazon.com /2 weeks ago

Introducing AWS Glue 6.0 for faster and more cost-effective data integration

AWS Glue 6.0 is now available, lowering AWS Glue pricing by 30%, adding an AWS optimized build of Apache Spark 4.1, and introducing Apache Iceberg V3 capabilities suitable for ente...

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aws.amazon.com /1 month ago

How Razorpay Built Real-Time Anomaly Detection with Amazon MSK

In this post, we explore Razorpay’s anomaly detection and alerting platform (ADA) architecture using Amazon Managed Streaming for Apache Kafka (Amazon MSK) and other AWS services....

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aws.amazon.com /3 weeks ago

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams. T...

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aws.amazon.com /6 days ago

Query Amazon S3 Tables from Amazon EMR Trino using the Iceberg REST endpoint

Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...

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aws.amazon.com /3 weeks ago

Unlocking real-time analytics: Streaming Aurora DSQL changes into Apache Iceberg

Stream Amazon Aurora DSQL change data capture (CDC) events into Apache Iceberg tables on Amazon S3 with Amazon Data Firehose, then query them using Amazon Athena. This post walks t...

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aws.amazon.com /1 month ago

Building a scalable personalized recommendation system on AWS: From batch to real-time

Learn how the Everyday Essentials team built a scalable personalized recommendation platform on AWS using a batch-first architecture with Amazon MWAA for orchestration, Amazon Sage...

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javacodegeeks.com /1 month ago

Getting Started with the Apache Paimon Java API

Apache Paimon is an open-source data lake storage framework designed to manage large-scale analytical datasets efficiently. It enables organizations to build reliable, real-time da...

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aws.amazon.com /3 weeks ago

Faster scaling for Aurora serverless to support agentic AI and other spiky workloads

Aurora serverless now automatically adds 12 Aurora Capacity Units to its current capacity within a second, and continues scaling to 256 ACUs as your workload grows. In this post, w...

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aws.amazon.com /1 month ago

Migrate to Amazon Keyspaces with zero downtime using ZDM Proxy

Learn how to migrate from self-managed Apache Cassandra to Amazon Keyspaces with zero downtime by deploying an extended version of the ZDM Proxy on AWS Fargate. This post covers th...

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aws.amazon.com /1 week ago

Introducing Claude Fable 5.1 on AWS

Claude Fable 5.1 is now available on Amazon Bedrock and Claude Platform on AWS. This post covers Claude Fable 5.1's improvements, the Enterprise Frontier Safeguards for keeping you...

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aws.amazon.com /1 month ago

From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

Formula 1® partnered with AWS to build the Data Accelerator, using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform. Learn how F1 cut data source onboa...

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