749 tutorials · free to read
A working handbook for data and software engineering.
Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.
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Latest tutorials
Page 3 of 125- 01Moving Iceberg Tables Between Catalogs Without Rewriting DataWhy moving Iceberg tables between catalogs is a pointer copy, and the protocol that makes a cutover safe for one table or thousands.Apache IcebergSep 02, 2026
- 02Logs, Traces, and Metrics as Tables: Building an OpenTelemetry Data Lake on IcebergBuilding an OpenTelemetry data lake on Iceberg: schemas for spans, logs, and metrics, ingestion, query patterns, and retention.ObservabilitySep 02, 2026
- 03Orchestration in 2026: Airflow 3 vs Dagster vs Prefect vs Event-DrivenWhere Airflow 3, Dagster, Prefect, and event-driven triggering stand for lakehouse pipelines in 2026, after the Prefect acquisition of Dagster.Data EngineeringSep 02, 2026
- 04Postgres Meets the Lakehouse: pg_lake, pg_duckdb, and When Postgres Is EnoughWhat pg_lake, pg_duckdb, and pg_mooncake do at the Iceberg level, and honest thresholds for when Postgres is enough.Data ArchitectureSep 02, 2026
- 05Storage-Partitioned Joins and the Bucket TransformHow the spec-defined bucket transform lets engines skip the shuffle in joins, and how to set it up and keep it engaged in Spark.Apache IcebergSep 02, 2026
- 06Schema Registries and Event Schemas: Avro, Protobuf, and JSON Schema on the Way Into the LakehouseHow Avro, Protobuf, and JSON Schema evolve through a registry, and how that maps to the schema evolution rules of Iceberg.Data EngineeringSep 02, 2026