Welcome!

This blog will contain articles about the Iceberg Data Lakehouse (using your data lake are your data warehouse with Apache Iceberg) and The Agentic Lakehouse (Lakehouses Optimized for working with AI Agents). What is Apache Iceberg? What is a Data Lakehouse? Where can I find more resources are all the types of content you'll find on this blog.

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

Join the Data Lakehouse Hub Slack Community: Join Now!

Subscribe to our calendar of Data Lakehouse events: Subscribe!

Recent Posts

• Migrating to Apache Iceberg: Strategies for Every Source System

  Published:Apr 29, 2026 |  at 12:14 PM

  Migrate to Iceberg from Hive, data warehouses, or raw files using in-place migration, full rewrite, or the zero-downtime view swap pattern.

• Hands-On with Apache Iceberg Using Dremio Cloud

  Published:Apr 29, 2026 |  at 12:13 PM

  A practical walkthrough of creating, querying, and optimizing Iceberg tables on Dremio Cloud, from account setup to AI-powered analytics.

• Approaches to Streaming Data into Apache Iceberg Tables

  Published:Apr 29, 2026 |  at 12:12 PM

  Stream data into Iceberg with Spark Structured Streaming, Flink, or Kafka Connect. Here is how each works and the trade-offs between latency and maintenance.

• Using Apache Iceberg with Python and MPP Query Engines

  Published:Apr 29, 2026 |  at 12:11 PM

  Access Iceberg tables from Python with PyIceberg, DuckDB, and Polars, or through MPP engines like Dremio, Spark, and Trino. Here is how each approach works.

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.

  Read Article

• 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.

  Read Article

• 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.

  Read Article

• 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.

  Read Article

• 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.

  Read Article

• 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.

  Read Article

• 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.

  Read Article