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All Content tagged with Amazon Redshift

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.

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Amazon Redshift secure logging redacts sensitive values in system table records when a query accesses data protected by federated permissions with fine-grained access control (FGAC). Redaction protect...
An Amazon Redshift cluster can accumulate **idle sessions** — connections that remain open but are no longer actively used by a client (for example, the application crashed, a network link dropped sil...
Hi team, I see that Amazon Aurora PostgreSQL 18.3+ already natively supports zero-ETL pipelines to Amazon Redshift. However, our current architecture relies on standard Amazon RDS, and we are planning...
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asked 7 days ago

Amazon Redshift publishes rich CPU, disk, and query-latency metrics to CloudWatch out of the box, and you can extend that same monitoring to two signals that often explain how many transactions are cu...
When an Amazon Redshift cluster slows down, CloudWatch shows the symptom—high CPU and commit-queue pressure—but not which queries caused it or how to fix them. Answering that traditionally required a ...
We have a zero-ETL integration from Aurora MySQL to a provisioned RA3 cluster (eu-central-1, 282 tables, about 260 GB). Since 2026-09-25, Redshift runs refresh cycles back-to-back and ignores REFRESH_...
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asked 11 days ago

Zero-ETL integrations replicate data from many sources (like Aurora PostgreSQL/Mysql) into Amazon Redshift in near real time, without you building/managing complex ETL pipelines. Once it is setup, you...
Learn how to pair Amazon Redshift's long-term system table retention in Amazon Simple Storage Service (Amazon S3) Tables with the Amazon Redshift Model Context Protocol (MCP) server. Use this combinat...
Amazon Redshift now supports Apache Iceberg v3 tables, introducing default column values, row lineage tracking, and deletion vectors. These capabilities enable more efficient schema evolution, increme...
This article explains a monitoring gap in Redshift zero-ETL replication: the IntegrationLag CloudWatch metric measures how far behind replication is, but it does not signal when replication has stoppe...
Amazon Redshift now supports Apache Iceberg v3 tables, introducing default column values, row lineage tracking, and deletion vectors. These capabilities enable more efficient schema evolution, increme...
Amazon Redshift system tables capture critical operational signals - query executed, every connection made, every workload pattern. Until recently, this data was retained for only 7 days in-cluster, m...
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