One Histogram, Four Engines: Fixing the Statistics Silo Problem
TL;DR — DuckDB, DataFusion, Polars, and Postgres each compute and store table statistics their own way, so a histogram built in your ELT pipeline is i…
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Why Athena/Iceberg Tends to Make Code the Spec
Every time this comes up, someone credits the same setup: Athena on Iceberg is where "the code is the spec" — where you open Git and read the whole sy…
AI Enrichment Pipeline: From Sample Classification to 100K-File Metadata Search with Bedrock and OpenSearch NextGen
Quick Recap: What We Built in Part 1 In Part 1 , we built a metadata catalog on Apache Iceberg (S3 Tables) that makes unstructured files on FSx for ON…
From Hours to Seconds: An AI-Powered Metadata Catalog for Unstructured Data on FSx for ONTAP
What Works Now vs What Requires Validation This article separates verified AWS-native capabilities from cross-platform paths that still require valida…
Load PostgreSQL into Apache Iceberg with Sling
Introduction Apache Iceberg is the table format that turns a pile of Parquet files in object storage into something that behaves like a warehouse tabl…
When does Iceberg beat Parquet+projection on AWS Glue, and when doesn't ?
Why this project I built this repo because I didn't have one of this kind yet and, having worked on data ingestion with Glue for a while, I wanted to …
Ursa — a new Diskless Lakestream engine for Kafka
The future of Kafka is diskless topics + native Apache Iceberg / Delta Lake integration Intro Ursa is a relatively new engine that's being fitted into…