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Iceberg Lakehouse is the technical encyclopedia for Apache Iceberg, lakehouse catalogs, the Agentic Lakehouse, and modern data architecture. Whether you are learning what table formats are, how to deploy Apache Polaris, or how to connect engines to Iceberg tables, you will find the definitive reference material here.

This blog is not affiliated with the Apache Foundation or the Apache Iceberg project whose official page is iceberg.apache.org.

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Recent Posts

• 31 MIN READ•Jul 24, 2026

  The Filters We Build: Scams, Slop, and the Search for Signal, From Radio Ads to AI

  How every media era from radio to AI forces humanity to build new cognitive filters -- the shield against scams and the sieve for finding signal in an ocean of noise.

  MediaAICognitive Filters
• 31 MIN READ•Jul 24, 2026

  The Breakdown of the Open Lakehouse in 2026: Iceberg, Arrow, Polaris, Parquet, and Ossie, and How to Actually Build One

  A detailed breakdown of the five Apache projects powering the open lakehouse in 2026 -- Parquet, Iceberg, Polaris, Arrow, and Ossie -- and how to build one yourself or use a managed platform.

  Apache IcebergApache ParquetApache Arrow
• 31 MIN READ•Jul 24, 2026

  Understanding the RAMpocalypse: An Economic Autopsy of the Great Memory Shortage and What Comes Next

  An economic autopsy of the 2026 memory shortage -- why DRAM prices surged 90% in a quarter, and what supply, demand, and market structure mean for the future of computing hardware.

  DRAMMemory ShortageEconomics
• 31 MIN READ•Jul 24, 2026

  The Own Goal: What the Hugging Face Breach Reveals About Why Open Models Are a Security Necessity

  How the 2026 Hugging Face breach proved that open models are a security necessity -- closed models failed to defend, an open Chinese model succeeded, and the lessons for AI policy.

  AI SecurityOpen SourceOpen Models

Must Reads on Iceberg, Agentic AI and Lakehouse from Around the Web

• The Definitive Guide to the Semantic Layer

  Understand what a semantic layer is, why it matters for modern data architectures, and how it creates a consistent, governed layer between raw data and business consumers.

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• Apache Polaris: The Catalog Standard for Lakehouses and AI

  A deep dive into Apache Polaris, the open-source catalog that is emerging as the standard for managing Iceberg tables across multi-engine Lakehouses and AI workloads.

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• What Are Table Formats and Why Were They Needed?

  Explore the history and motivations behind open table formats like Apache Iceberg, Delta Lake, and Apache Hudi, and why they solved critical problems in big data engineering.

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• What is Dremio?

  A comprehensive overview of Dremio's Lakehouse platform — how it unifies data access, accelerates queries, and powers self-service analytics across cloud and on-premise sources.

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• What Apache Iceberg Native Actually Means

  Not all Iceberg integrations are equal. This article breaks down what it truly means for a platform to be 'Apache Iceberg native' and why the distinction matters for your architecture.

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• Open Source and the Data Lakehouse

  A survey of the open source ecosystem powering modern Data Lakehouses — from Apache Iceberg and Nessie to Apache Arrow and Spark — and how they work together.

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• What is Agentic Analytics?

  Discover how AI agents are transforming analytics pipelines — autonomously querying data, generating insights, and taking actions — and what it means for the future of the Lakehouse.

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