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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

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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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

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 week ago

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatical...

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cloud.google.com /1 month ago

What's new for Managed Service for Apache Spark clusters

At Google Cloud, our goal is to let you run large-scale analytical and data science workloads with maximum efficiency so you can process big data pipelines, machine learning, and E...

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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 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 /2 days 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 /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 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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cloud.google.com /1 month ago

Deep dive: How Lightning Engine delivers 4.9x faster Apache Spark performance

From foundational ETL and analytics to the frontier of generative AI, Apache Spark serves as the architectural backbone for global data processing. However, as data volumes scale,...

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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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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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cloud.google.com /1 month ago

What’s new in serverless Managed Service for Apache Spark

Whether you use it for data preparation, real-time interactive queries, AI model training, or something entirely different, running Apache Spark at scale is demanding — you shouldn...

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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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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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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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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 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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dzone.com /1 month ago

Build Self-Managing Data Pipelines With an LLM Agent

Six-hour data pipeline. Spot termination. Job crashes. 45 minutes of compute lost. Engineer paged at 2 AM. This isn't a tooling problem — it's a decision-making problem. And humans...

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dataengineeringcentral.substack.com /3 weeks ago

Apache Datafusion Comet (Spark Accelerator)

any better than last time?

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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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