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Upgrading your Amazon Redshift DC2 clusters to AWS Graviton-based RG instances unlocks managed storage, data sharing, zero-ETL, and an integrated data lake engine. This post covers...
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...
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,...
Amazon Redshift system table integration with Amazon S3 Tables automatically delivers your system table logs to Amazon S3 Tables in Apache Iceberg format. You can retain this data...
In this post, we show you how to use Amazon SageMaker Unified Studio to implement cross-account data sharing in Amazon Redshift using data mesh principles. We demonstrate how to bu...
Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...
In this post, we walk through the core concepts of cross-Region disaster recovery, introduce a framework for assessing your requirements, and then dive deep into three primary DR s...
How CORTO scaled Amazon Aurora PostgreSQL with pgvector to 7.6 billion vectors and 2.5 billion documents in production, delivering sub-second legal search for 10,000+ law firms at...
Amazon CloudWatch Database Insights now extends to self-managed databases. Monitor self-managed PostgreSQL on Amazon EC2 alongside your Amazon Aurora and Amazon RDS fleet from a si...
Redshift keeps its SYS_* monitoring views for seven days in cluster, which is fine until an auditor or an incident review asks for something older. Until now the usual... The post...
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...
In this post, we demonstrate an automated test suite that validates your Amazon Redshift cluster automatically after any patch, reboot, or modification. It uses standard drivers ag...
Amazon Redshift now supports AWS IAM Identity Center authentication on clusters and workgroups that use enhanced VPC routing. Create two interface VPC endpoints to give your users...
In this post, we demonstrate how AWS and Salesforce customers can access their enterprise data lakes on AWS from Salesforce Data 360 using zero-copy file federation.
Learn how Moovit modernized its data platform with a multi-engine lakehouse architecture: offloading heavy aggregation workloads from Amazon Redshift to Amazon EMR with Spark SQL,...
Managing payment infrastructure at scale presents unique challenges that impact both performance and operational efficiency. In this post, we share the technical and operational ch...
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...
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.
Amazon Aurora DSQL offers time-based observability through Amazon CloudWatch Database Insights. Learn how the DSQL observability model, DASH, Database Insights, PromQL, and the sys...
Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect...
In this post, we show how to rebuild large indexes on Amazon Aurora PostgreSQL by combining Amazon Aurora Blue/Green Deployments with Aurora Optimized Reads. By performing the rein...
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...
AWS Glue 6.0 with Apache Spark 4.1 adds support for Apache Iceberg v3: native geospatial types, nanosecond-precision timestamps, the VARIANT type, and DEFAULT column values. This p...
The data lakehouse has become the default architecture for analytics on AWS in 2026. It combines the best of both worlds: the low-cost, schema-flexible storage of a data lake (S3)...
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