InTowards Data EngineeringbyMohit Daxini·Oct 23Materialize Once, Query Anywhere: Amazon Redshift's New Iceberg Materialized ViewsHow a new AWS capability lets data engineers compute expensive analytics once and share the results across Redshift, Athena, Spark, and…
Jaewon Lim·Oct 13Is Redshift Still Worth It? (1)*For security reasons, this post leaves out code, queries, service names and specific architecture details. All numbers are production…
Jaewon Lim·Oct 11Redshift, 계속 유지해야 할까? (1)*보안상 코드, 쿼리, 서비스 및 구체적인 아키텍처에 대한 상세 내역은 기재하지 않습니다. 수치는 운영 당시 실측 기준이며, 프로비저닝 클러스터 기준입니다.A response icon1A response icon1
Kriangsak Sumthong·Aug 23Get Started with RPU | AWS Redshift ServerlessA Beginner’s Guide to Understanding RPUs in AWS Redshift Serverless, Let’s go!
CodeCraft by Ramcharan·Jul 29From On-Premise Databases to AWS: RDS, Aurora, Redshift, and Data Migration ExplainedHow Traditional Databases Actually Work
Dhiraj Bhamare·Jun 26Migrating from Redshift Python UDFs to Lambda UDFs: What Changes, What Breaks, and What to Do About…Amazon Redshift users who relied on Python UDFs are now being pushed toward Lambda UDFs as the long-term replacement. On paper, that sounds…
Dhiraj Bhamare·May 27Troubleshooting a Redshift DROP USER Failure Caused by Datashare PrivilegesAmazon Redshift user cleanup is usually straightforward — until it is not. A particularly confusing scenario arises when a user appears to…
Besar Maxhuni·Mar 16Better Together: Integrating Amazon S3 and Redshift for Modern AnalyticsThe AWS Data Duo: Why You Need Both S3 and Redshift
PATRICK·Feb 9My Weird Tech Dream: Data Engineer — ML Engineer — Exciting Right, RIGHT…!!!Talk about having a weird dream…. This morning, I woke up dreaming about Data Engineering & ML Engineering… A dream that was, to me — VERY…
