How fast classification models like Jev alongside open alternatives such as GLiClass compare with LLMs, and how to run both together inside an Apache Iceberg lakehouse.
add_files, snapshot, and migrate compared: the three in-place paths into Iceberg, the reconciliation each requires, the layout traps, and the rollback story.
A cost model for compaction, snapshot expiry, orphan cleanup, and manifest rewriting: what each operation spends, on which meter, and how to set a schedule.
A practical guide to modernizing a data warehouse to Apache Iceberg without downtime, using federation first, then redirecting new data, then materializing what earns a migration.
A survey of the Apache Iceberg market in July 2026: the state of the specification, platform support, the acquisition wave, the catalog contest, and how to evaluate real Iceberg support.
Databricks, Snowflake, and SAP are closing the gap between operational databases and analytical platforms through acquisition, betting on different layers of the same five-part architecture.
The agentic AI protocol stack is solidifying in 2026 — MCP for tools, A2A for agents, WebMCP for the web, OSI for semantics, payments, identity, and security.
Apache Arrow at 10 — ADBC, Flight SQL, nanoarrow, the AI reinterpretation, and how an in-memory standard eliminated the copy tax across the data stack.
Apache Parquet in 2026 — variant types, geospatial, ALP encoding, footer redesign, the versioning debate, and how the decade-old format is renovating for AI workloads.
Apache Polaris as a TLP — federation, credential vending, semantic layers, lineage, and how the open catalog became the governance plane of the multi-engine lakehouse.
Every path for streaming data into Iceberg in 2026 — Flink, Spark, Kafka Connect, broker-native, managed pipelines — with honest latency numbers and sub-second hybrid architectures.
Apache Iceberg 1.11.0 delivers manifest list encryption, the new pluggable File Format API, credential lifecycle refreshes, and Spark/Flink improvements.