Lakehouse

Delta Lake, Apache Iceberg and Hudi — ACID tables on object storage with time travel and evolution. This path sequences the category's 18 resources by roadmap stage and composite score — work top-down inside each step.

Lakehouse

1. Iceberg Table Maintenance 36.5 — Keep an Iceberg table fast — compaction, snapshots, and manifest hygiene.
2. Delta Optimization Advisor 34.9 — OPTIMIZE, Z-ORDER, or nothing — decide with data, not vibes.
3. Decide when a Delta table needs OPTIMIZE or Z-ORDER 34.15 — Decide when a Delta table needs OPTIMIZE or Z-ORDER
4. The lakehouse mental model — lake vs warehouse vs table formats vs zones 34.15 — The lakehouse mental model — lake vs warehouse vs table formats vs zones
5. Your first lakehouse table — create, query, measure, compact 34.15 — Your first lakehouse table — create, query, measure, compact
6. ACID and concurrent writes — why compaction and ingestion collide 34.15 — ACID and concurrent writes — why compaction and ingestion collide

12 more on the category page.

Documented prerequisites, deduplicated: skill-spark-skew-diagnosis.

• Read an Iceberg metadata table to size the problem
• Pick a compaction strategy and rewrite interval
• Expire snapshots without breaking time travel
• Decide if a table needs OPTIMIZE from file stats
• Choose Z-ORDER columns from query predicates
• Know when liquid clustering beats partitioning
• Contrast lake, warehouse, and lakehouse by what each does to raw files
• Name the table format's jobs — snapshots, manifests, hidden partitioning, schema evolution

Security-flagged: Iceberg Table Maintenance, Delta Optimization Advisor, Small files explosion, Compaction & File-Size Management, Lakehouse Guard — review the security posture first. Verification on these records: 18 community. Nothing here is independently audited — the trust scan and your own review are the controls.

Phase 2 of the roadmap. Stage context: Lakehouse · side-by-side comparison · all learning topics