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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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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Retail foundation leader Dave Treadwell takes over as senior leader and 19-year vet Dave Brown departs for pastures unknown
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...
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...
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...
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...
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...
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...
Dataware house gambles cloud conveniences, AI accelerated insights will justify the cost.
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...
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...
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...
AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey
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...
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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