delta

DE//AGENT currently lists 6 resources under delta: 2 tutorials, 1 plugin, 1 agent. Everything below is derived from the live registry — counts, capabilities, verification state and security posture come from the curated records, never from marketing copy.

Also present: 1 template, 1 reference.

Documented learning objectives across these resources:

• Say what ACID transactions on object storage guarantee concurrent writers — via ACID and concurrent writes — why compaction and ingestion collide
• Schedule compaction outside the ingestion window and explain the contention — via ACID and concurrent writes — why compaction and ingestion collide
• Handle a contending OPTIMIZE — compaction is additive, so halt it, no rollback — via ACID and concurrent writes — why compaction and ingestion collide
• Read a table-health report before planning maintenance — via Check lakehouse table health with Lakehouse Guard
• Generate a compaction plan instead of running compaction ad hoc — via Check lakehouse table health with Lakehouse Guard
• Understand when the guard blocks maintenance actions — via Check lakehouse table health with Lakehouse Guard

These resources map to stages: Lakehouse (4), Cloud (1), Streaming (1). Follow the four-phase roadmap to place this topic inside a progression instead of learning it in isolation.

Every entry, its shape and its trust state — sorted by the registry's composite score. This table is the honest version of a marketing comparison: no sponsored placements, no unverifiable claims.

How scores are computed: source quality score.

Highest composite score first:

1. ACID and concurrent writes — why compaction and ingestion collide score 34.15 — intermediate
2. Check lakehouse table health with Lakehouse Guard score 34.15 — intermediate
3. Databricks Reviewer score 33.5 — advanced

Scores rank provenance, completeness and trust — read how verification works before adopting anything.

Reach for these with production experience: Databricks Reviewer, Lakehouse Guard, Kafka Streaming Job Template.

Security-flagged entries: Databricks Reviewer (1 flag), Lakehouse Guard (3 flags), Kafka Streaming Job Template (4 flags). Flags mean the record declares capabilities like credential use or write access — read the security posture on each page before connecting.

• ACID and concurrent writes — why compaction and ingestion collide — What ACID on object storage actually guards, and where it stops: Delta commits transactions on files, but compaction is also a writer, and the two meet in the ingestion window. Lea… details
• Check lakehouse table health with Lakehouse Guard — Use the Lakehouse Guard plugin's three commands on a Delta/Iceberg table: /table-health for a status read, /plan-compaction for a maintenance plan, and /expire-snapshots for a safe… details
• Databricks Reviewer — Review notebooks, jobs and Delta tables for the Databricks-specific pitfalls. details
• Lakehouse Guard — Delta/Iceberg table maintenance advisor plus a guard that blocks compaction or snapshot expiry during peak ingestion windows. details

Real install commands from the registry — read the source before running any of them:

amp plugin add de-agent/lakehouse-guard

Lakehouse Guard — review first

amp template new de-agent/kafka-streaming ./streaming

Kafka Streaming Job Template — review first

Adjacent topics: lakehouse (3 shared), tutorial (2 shared), plugin (2 shared), maintenance (2 shared).

Study path: the roadmap places this topic in a progression · the scoring model explains the numbers · the trust rule catalog shows every security check these entries passed through.