Tag:Apache Iceberg

Articles tagged "Apache Iceberg", page 6.

• 31 MIN READ•Aug 24, 2026

  Can Seven Different Iceberg REST Catalogs Really Run the Same DuckDB Code?

  Can seven Iceberg REST catalogs run the same DuckDB script? What the protocol makes portable, what still differs, and a test matrix you can rerun.

  Apache IcebergREST catalogDuckDB
• 31 MIN READ•Aug 24, 2026

  Stop Flattening Your JSON: How Iceberg Variant Changes Semi-Structured Analytics

  Iceberg Variant stores JSON as navigable binary with shredding for columnar filters. Why flattening wide tables is no longer the only performance path.

  Apache IcebergVariantJSON
• 31 MIN READ•Aug 24, 2026

  What Actually Happens When Two Engines Write the Same Iceberg Table at Once?

  What happens when two engines write the same Iceberg table at once: snapshot isolation, optimistic commits, conflict detection, and when retries fail.

  Apache Icebergconcurrencycommits
• 31 MIN READ•Aug 24, 2026

  Variant Shredding Explained: How Iceberg Gets Columnar Performance From Messy JSON

  Variant shredding turns messy JSON into Parquet columns with statistics. How the layout works, how readers reassemble values, and why some queries prune.

  Apache IcebergVariantParquet
• 30 MIN READ•Aug 24, 2026

  Who Actually Owns an Iceberg Table? Managed, External, and the New Vocabulary of Lakehouse Control

  Managed and external Iceberg tables mean different things on every platform. Five ownership dimensions and a translation method for vendor vocabulary.

  Apache Icebergcatalogsgovernance
• 31 MIN READ•Aug 19, 2026

  Mastering Apache Iceberg v3 Deletion Vectors for High-Throughput Streaming Ingest

  Apache Iceberg v3 deletion vectors for high-throughput streaming ingest: how bitmaps and Puffin files fix CDC write amplification and read decay.

  Apache Icebergv3deletion vectors
• 30 MIN READ•Aug 19, 2026

  Goal-Directed Data Quality Agents: Anomaly Quarantine on Apache Iceberg

  Goal-directed data quality agents that watch Apache Iceberg tables, detect anomalies, and quarantine suspect data safely with snapshot isolation and branches.

  Apache Icebergdata qualityAI agents
• 30 MIN READ•Aug 19, 2026

  Policy-Aware Lakehouse Telemetry: Building Auditable AI Records on Apache Iceberg for the EU AI Act Era

  Policy-aware lakehouse telemetry for the EU AI Act era: build auditable, immutable, governed AI decision records on Apache Iceberg.

  EU AI Acttelemetrycompliance
• 30 MIN READ•Aug 19, 2026

  Write-Audit-Publish with Apache Iceberg Branches: CI/CD for Your Data

  Write-Audit-Publish with Apache Iceberg branches brings CI/CD to your data: stage, audit, then fast-forward to main so consumers never see unvalidated bytes.

  Apache Icebergwrite-audit-publishbranches
• 31 MIN READ•Aug 19, 2026

  Zero-Copy Warehouse Modernization: Moving to Apache Iceberg Without Downtime

  A four-phase plan for moving a warehouse to Apache Iceberg without downtime: federate first, redirect new data, materialize selectively, and cut over gradually.

  Apache Icebergwarehouse migrationzero-copy
• 21 MIN READ•Aug 4, 2026

  Budgeting for Agentic Analytics When Every Question Costs Something Different

  Budgeting for agentic analytics when every question costs something different: token economics, query economics, instrumentation, and the cost controls.

  AI AgentsTCOCost Management
• 21 MIN READ•Aug 4, 2026

  The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits

  The five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity.

  AI AgentsMCPAgentic Lakehouse