Posts - Page 6

All the articles I've posted, page 6.

• 31 MIN READ•Oct 12, 2026

  Schema Pruning and Few-Shot SQL Selection for Data Agents Facing Thousands of Columns

  How data agents prune enterprise schemas down to the columns that matter, ground filter values, and pick few-shot SQL examples with the right shape.

  data agentstext-to-SQLcontext engineering
• 32 MIN READ•Oct 12, 2026

  Upgrading to Apache Iceberg 1.12.0 Without Breaking Your Engines

  A platform engineer's upgrade guide to Apache Iceberg 1.12.0: variant and geospatial changes, REST catalog behavior, removed APIs, and rollback.

  Apache IcebergIceberg 1.12.0upgrades
• 32 MIN READ•Oct 5, 2026

  How to Build a Golden-Question Benchmark for Your Data Agents

  Build a golden-question benchmark for data agents: frozen Iceberg tags, execution-based scoring with Arrow, and CI gates.

  evaluationAI agentsApache Iceberg
• 31 MIN READ•Oct 5, 2026

  When a Data Agent Gives a Wrong Number: Incident Response for Agentic Analytics

  A plan for when a data agent gives a wrong number: severity levels, containment, Iceberg time travel reproduction, and blast radius queries.

  incident responseAI agentsApache Iceberg
• 31 MIN READ•Oct 5, 2026

  Multi-Tenant Data Agents: Serving Many Customers From One Lakehouse

  Serve many customers from one lakehouse without leaking between them: isolation models, Polaris grants, and tenant-scoped agent state.

  multi-tenantApache PolarisAI agents
• 31 MIN READ•Oct 5, 2026

  Release Management for Data Agents: Shipping Prompts, Tools, Models, and Metrics Without Breaking Answers

  Ship prompts, tools, models, and metric changes without breaking answers: agent manifests, shadow mode, canaries, and rollback.

  release managementAI agentsevaluation
• 31 MIN READ•Oct 5, 2026

  Semantic Caching for Data Agents Without Serving Stale or Leaked Numbers

  Cache data agent results safely with canonical query keys, Iceberg snapshot freshness checks, and permission-aware cache keys.

  cachingAI agentsApache Iceberg
• 32 MIN READ•Oct 5, 2026

  Small Language Models for Data Agents: Where They Win and Where They Fail

  Where small language models win inside a data agent and where they fail, plus a routing architecture that escalates only when needed.

  small language modelsAI agentssemantic layer
• 31 MIN READ•Oct 5, 2026

  Stop Calling Everything Made With AI Slop

  AI slop means low-quality content, not AI-assisted work. The three markers of slop, and the review habits that separate skilled AI-assisted work from filler.

  AI WritingAI ToolsCreative Work
• 31 MIN READ•Sep 28, 2026

  Turning an Analytics Question Into a Verified Agentic Graph

  A complete AGS 1.0 graph for governed metric questions, with verification gates, deterministic check scripts, and reconciliation against a semantic layer.

  AI AgentsAgentic Graph SpecificationMulti-Agent
• 31 MIN READ•Sep 28, 2026

  Keeping Audit Snapshots Alive While Iceberg Snapshot Expiration Runs Every Night

  How Iceberg snapshot tags keep audit snapshots alive through nightly expiration: retention calendars, RETAIN semantics, compaction cost, and erasure conflicts.

  Apache IcebergSnapshot ExpirationData Governance
• 31 MIN READ•Sep 28, 2026

  Twelve Queries That Pass Every Schema Check and Still Return the Wrong Number

  Twelve query patterns that pass schema validation and still return wrong numbers, with detectors, required metadata, and tested code for each.

  AI AgentsSemantic LayerData Quality