Tag:Apache Iceberg
Articles tagged "Apache Iceberg".
- 43 MIN READ•Sep 23, 2025
Data Lakehouse Guide 2026: Architecture and Ecosystem
What a data lakehouse is and how it works: Iceberg, Delta, Hudi, and Paimon table formats, the five core layers, catalogs, ingestion, and optimization.
Data LakehouseData EngineeringAgentic AI - 23 MIN READ•Sep 24, 2025
Open Table Formats Compared: Iceberg, Delta, Hudi, Paimon
Apache Iceberg, Delta Lake, Hudi, Paimon and DuckLake compared: metadata design, row-level updates, engine support, and when to choose each table format.
Data LakehouseData EngineeringAgentic AI - 28 MIN READ•May 22, 2026
Iceberg Catalogs Compared: REST, Glue, Hive, Polaris, Nessie
Iceberg catalogs track each table's current metadata file and make commits atomic. Compare REST, Glue, Hive, Nessie, Polaris, S3 Tables, and Snowflake Horizon.
apache icebergcatalogsNessie - 27 MIN READ•May 22, 2026
Iceberg MERGE INTO in Spark: Upserts, Copy-on-Write vs MoR
Run Iceberg MERGE INTO, UPDATE, and DELETE in Spark with Iceberg 1.12.0, pick copy-on-write or merge-on-read per operation, and evolve schemas without rewrites.
apache sparkapache icebergdata engineering - 32 MIN READ•Jul 6, 2026
Agentic AI Standards in 2026: MCP vs A2A and the Full Stack
MCP connects agents to tools; A2A connects agents to each other. A 2026 map of agentic AI standards: MCP, A2A, WebMCP, Apache Ossie (OSI), and agent payments.
Apache Icebergdata engineeringlakehouse architecture - 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
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 - 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 21, 2026
Why the Iceberg DataFusion Integration Is Moving to Apache DataFusion
Why the Iceberg DataFusion integration moved to the DataFusion project, and what the split means for users, Comet, and iceberg-rust contributors.
Apache DataFusionApache IcebergRust