Community guides and resources for data engineering and platform teams.Deep technical reads on design, reliability, and production operations.
A deep dive into everything new in Apache Iceberg format version 3 — from the Variant type and nanosecond timestamps to deletion vectors, row lineage, geospatial types, and table-level encryption.
How to use QueryFlux as the SQL routing layer in front of Trino, DuckDB, and StarRocks — giving every client one endpoint while each query lands on the right Iceberg engine automatically.
Incremental models promise fast builds, but most teams hit correctness bugs within weeks. Here is how to build dbt incrementals that stay correct through late data and schema changes.
Build a production CDC pipeline from PostgreSQL to Kafka using Debezium with log-based capture, schema registry, exactly-once delivery, and zero-downtime snapshots.
A practical playbook for reducing Snowflake compute waste by 30-50% while protecting delivery speed and analyst productivity with governance guardrails.