Latest updates for Amazon Emr

Fresh curated links around Amazon EMR are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Build petabyte-scale synthetic test data with Amazon EMR on EC2
  • Announcing general availability of Apache Spark 4.0 on Amazon EMR
  • Announcing Spark Connect on Amazon EMR Serverless: Interactive PySpark development, anywhere

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Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

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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aws.amazon.com /1 month ago

Announcing general availability of Apache Spark 4.0 on Amazon EMR

With this general availability announcement, Spark 4.0 is now supported across Amazon EMR Serverless, Amazon EMR on EC2, and Amazon EMR on EKS deployment options. In this post, you...

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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 /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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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 /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

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

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

Upgrade PySpark from Spark 3.5 to Spark 4.0 with AWS Spark Upgrade Agent

In this post, we walk through a hands-on PySpark migration from Spark 3.5 to Spark 4.0 on Amazon EMR Serverless, using the AWS Spark Upgrade Agent. You’ll see how the agent iterati...

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aws.amazon.com /3 weeks ago

Why tombola chose Graviton-powered RG instances for Amazon Redshift

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 the...

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theregister.com /8 hours ago

Amazon Web Services' most vocal customer now runs EC2

Retail foundation leader Dave Treadwell takes over as senior leader and 19-year vet Dave Brown departs for pastures unknown

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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 /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 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 /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 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 /1 month ago

How Smartsheet built Real-time Dynamic Filtering on Apache Flink reducing $40K/month in messaging costs

In this post, you learn how Smartsheet built a Real-time Dynamic Filtering (RDF) system on Amazon Managed Service for Apache Flink, cutting messaging costs by over $40,000 per mont...

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theregister.com /1 month ago

Snowflake to burn $6B on AWS Graviton CPUs and AI accelerators

Dataware house gambles cloud conveniences, AI accelerated insights will justify the cost.

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aws.amazon.com /1 month ago

Amazon Quick integration with time-series databases for market intelligence using MCP

In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conver...

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towardsdatascience.com /1 month ago

Introducing the Agent Toolkit for Amazon Web Services

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Services appeared first o...

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dev.to /1 month ago

Why I replaced DynamoDB with Aurora PostgreSQL Serverless v2 for an ad-ops monitoring workload

On February 14, 2026, Meta started enforcing health-data restrictions that broke pixel-based lower-funnel conversion tracking for DTC telehealth advertisers. No purchase events. No...

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theregister.com /1 month ago

AWS whips out Graviton-powered Redshift instances, claims 7x speed for data warehouse

AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey

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executivegov.com /2 weeks ago

Brookhaven Lab, Amazon Web Services Team Up to Accelerate GridSearch AI Project

Brookhaven Lab and AWS are partnering to scale the AI-powered GridSearch project nationwide GridSearch uses AI to speed up power grid interconnection studies while maintaining accu...

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simplilearn.com /3 weeks ago

An Easy Guide To Apache Spark Installation | Simplilearn

Apache Spark is an open-source data processing framework for large volumes of data from multiple sources. Spark is used in distributed computing for processing machine learning app...

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Sources covering Amazon Emr

feeds.dzone.com

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aws.amazon.com

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aws.amazon.com

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dev.to

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executivegov.com

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towardsdatascience.com

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