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Lakehouse Day

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What to expect

Lakehouse Day 2026 is a full-day, multi-track open data conference in Glasgow, covering Apache Iceberg, Hudi, Parquet and the wider lakehouse ecosystem.

Co-located with Community Over Code Glasgow 2026 on Saturday 10 October, Lakehouse Day brings together the open-source projects, engineers and organisations shaping modular lakehouse architecture. The programme focuses on technologies under the Apache Software Foundation umbrella, including Apache Iceberg, Apache Hudi, Apache Parquet, Apache Gravitino and Apache Polaris, with opportunities to exchange practical lessons and build connections across their communities.

What to expect

The day combines keynotes with parallel breakout sessions spanning architecture, observability, transactions, streaming, security analytics and data-transfer protocols. Topics announced in the schedule include:

  • The rise of the Apache Lakehouse: ASF member JB Onofré explores how open table formats, REST-based catalogues and streaming technologies can support a modular, vendor-neutral data estate. The keynote covers ACID transactions, schema evolution, metadata silos and the separation of table format, control plane and compute concerns.
  • Lakehouse observability: Datadog software engineer Nikita Matckevich shares monitoring practices from a managed multicloud and multi-engine Iceberg environment. Expect lessons on lineage, data quality, cost, performance, query patterns, access audits and orphan-file management.
  • Iceberg at enterprise scale: Akamai senior software engineer Endi Caushi explains how the company’s Egnatia platform supports batch analytics and near-real-time security event data while delivering seven-figure annual savings. The session includes patterns for upsert-heavy pipelines, threat detection and platform modernisation.
  • Multi-table transactions: Cloudera principal engineer Qiegang Long presents an engine-neutral proposal for warehouse-grade BEGIN/COMMIT semantics in the Iceberg REST Catalog, accompanied by a live Apache Polaris proof of concept.
  • Apache Arrow and client protocols: A breakout revisits the case for columnar query-result transfer and Apache Arrow’s role across IPC, Flight, Flight SQL, Arrow over HTTP and ADBC.

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