795 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.
Follow an ordered learning track with prerequisites and checkpoints →
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Latest tutorials
Page 4 of 133- 01Running an Iceberg Lakehouse on KubernetesCatalog, maintenance, and compaction as Kubernetes workloads: scheduling classes, job structure, credential flow, and the failures that come from the interaction.Data EngineeringSep 10, 2026
- 02Partition Statistics Files in Apache IcebergThe underused Iceberg metadata for planning: what the partition statistics file holds, what the spec guarantees, how to write one, and when it earns its slot.Apache IcebergSep 10, 2026
- 03What Iceberg Table Maintenance Actually CostsA cost model for compaction, snapshot expiry, orphan cleanup, and manifest rewriting: what each operation spends, on which meter, and how to set a schedule.Apache IcebergSep 10, 2026
- 04The 2026 Iceberg REST Catalog Compatibility ReportA repeatable test for what an Iceberg REST catalog actually serves, a scoring scheme that separates design from breakage, and the 2026 evidence across seven catalogs.Apache IcebergSep 10, 2026
- 05What to Assert When You Test an Iceberg PipelineFixtures, in-memory catalogs, and golden metadata: the assertions that catch wrong rows, unsafe reruns, schema drift, and concurrent-write corruption in CI.Data EngineeringSep 10, 2026
- 06Serving Iceberg Tables From Two RegionsThree multi-region topologies that work and one that mostly does not, what an Iceberg commit costs across regions, and where the catalog has to live.Apache IcebergSep 10, 2026