Ethan Carter·Oct 12RustFS S3 Tables: A Built-In Iceberg REST Catalog in an Apache-2.0 Object StoreRustFS S3 Tables is an Apache Iceberg REST Catalog built directly into the RustFS object storage kernel, so one process on one port serves…
Ashish·Sep 27Data This Week #32Serving APIs off S3 Tables, Spark Declarative Pipelines, serverless Postgres CDC on Fargate, Iceberg 1.12 preview, Postgres search…
Angel Conde·Aug 28Compiling DuckDB’s AWS extension to WebAssembly: querying Amazon S3 Tables from a browser tabDuckDB-Wasm can’t load the aws extension today. Three small patches later, a React app in my browser was committing Iceberg tables to…
Angel Conde·Jul 8Running dbt on Amazon EMR Serverless with Spark Connect and S3 TablesFor years, the pitch for dbt was simple: write SQL, get a warehouse-native transformation framework. The catch was always the warehouse. If…
Manishkumaryadav·Jun 11I Tried to Build an Iceberg Lakehouse Without a Cluster. Here’s What Actually Happened.Not a production case study. A weekend proof-of-concept driven by genuine curiosity — seven models, zero clusters, ten things that broke…A response icon1A response icon1
Gaurav Jain·Jun 9From Operational to Analytical, Without Choosing SidesPart 2a: A serverless CDC pattern for hot, cold, and the queries that span both
Amber·May 28Optimizing Apache Iceberg Tables on AWS with the Iceberg Analytics MCP ServerApache Iceberg has become the table format of choice for building open, high-performance data lakes on AWS. Services like Amazon Athena…
Soumil Shah·Feb 3How to Know S3 Table Compaction Frequency via CloudTrail and Athena/DuckDB: Guide for DevelopersAuthor: Soumil Nitin Shah
Andrii K·Oct 26, 2025Writing PostgreSQL Data to AWS Iceberg S3 Tables with PythonIn this article, we’ll explore how to create AWS Iceberg S3 tables — managed Iceberg tables with automatic maintenance. First, we’ll create…
