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This blog contains articles about the Apache Iceberg Data Lakehouse (using your data lake as your data warehouse) and the Agentic Lakehouse (lakehouses optimized for AI agents). If you are looking to understand what Apache Iceberg is, how a data lakehouse works, or where to find deep-dive resources, you will find all of that content right 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

• 20 MIN READ•Jun 1, 2026

  What AI Is and Isnt: A Laypersons Guide to How LLMs Actually Work

  AI is not magic or sentient. Learn what large language models actually do, how vectors and embeddings work, and why todays AI is pattern matching not thinking.

  aiartificial intelligencemachine learning
• 20 MIN READ•Jun 1, 2026

  Getting Started with AI for Free: Every Tool Google Gives You at No Cost

  You already have access to powerful AI tools through your Google account and no subscription needed. Here is everything Google offers for free and how to use it today.

  aiartificial intelligencemachine learning
• 21 MIN READ•Jun 1, 2026

  ChatGPT and Claude: Which AI Service Should You Pay For

  ChatGPT and Claude are the two leading AI assistants. Here is what each offers at every price tier, how to use their desktop apps and advanced features like Dispatch and Clips, and which one fits your workflow.

  aiartificial intelligencemachine learning
• 20 MIN READ•Jun 1, 2026

  A Tour of Specialized AI Tools: Music, Video, Images, and More

  Beyond chatbots lie specialized AI tools for creating music, generating videos, and editing images. Here is a tour of the best tools in 2026 and how they fit into daily productivity.

  aiartificial intelligencemachine learning

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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