775 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 7 of 130- 01The Lakehouse Ingestion Tool Landscape: Fivetran, Airbyte, dlt, and CDC vs BatchHow Fivetran, Airbyte, dlt, and CDC and streaming tools land well-behaved Apache Iceberg tables, and how to choose and maintain them.Data EngineeringSep 02, 2026
- 02Metadata Platforms in 2026: DataHub, OpenMetadata, Atlan, and Catalog ConvergenceHow the technical catalog and the metadata platform are converging in 2026, and how to arrange the two layers for a lakehouse.Data GovernanceSep 02, 2026
- 03Moving 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
- 04Logs, 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
- 05Orchestration 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
- 06Postgres 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