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Your Data Lakehouse Magazine and Community

News, newsletters, and a thriving community for everyone building on the data lakehouse ecosystem. Stay informed with weekly roundups, deep dives into Apache Iceberg, and expert guides from practitioners.

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300+: Glossary entries
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Weekly: Newsletter & roundups

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The Iceberg Open Lakehouse

From Parquet files and snapshots to catalogs, engines, governance, and AI-ready semantics.

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Four ways into the Hub — reference, reading, watching, and meeting people.

Knowledge Base

A searchable glossary of lakehouse, Iceberg, and catalog terminology.

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The Blog

Tutorials, architecture deep dives, and ecosystem news, published weekly.

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Short, focused walkthroughs of the concepts that are hard to read about.

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Meetups, webinars, and Lakehouse Linkups happening across the community.

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Fresh off the press

Latest Posts

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September 2, 2026

Data Quality Tooling Compared: Great Expectations, Soda, dbt Tests, and Anomaly Detection

A comparison of Great Expectations, Soda, dbt tests, and anomaly detection, and a layered design that uses each where it fits.

September 2, 2026

The Data Team of the Agentic Era: Generalists Owning End-to-End Workflows

The case for generalists owning end-to-end data workflows with agents, the counterargument, and how to make the transition work.

September 2, 2026

dbt on Iceberg: Incremental Models on Open Tables

How dbt incremental materializations map to Iceberg operations, and the configuration, predicates, and maintenance that keep them healthy.

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Must Read Articles

Deep dives into Apache Iceberg, agentic AI, and modern data lakehouse architecture by Alex Merced.

Apache Iceberg

What is Apache Iceberg? The Table Format Revolution

Learn how Apache Iceberg turned raw Parquet files in S3 into a fully ACID-compliant, time-traveling analytical database without moving your data out of object storage.

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Agentic AI

Agentic Analytics on the Apache Lakehouse

How autonomous AI agents replace manual dashboard querying by reading governed semantic layers directly on your data lakehouse.

Read article Ecosystem

The 2025 State of the Apache Iceberg Ecosystem

Survey data from data professionals on adoption rates, popular tooling, and where the ecosystem is heading through 2026.

Read article Data Lakehouse

What Are Table Formats and Why Were They Needed?

Table formats solved the ACID, schema evolution, and query performance problems that turned data lakes into unmanageable swamps.

Read article Apache Iceberg

2026 Intro to Apache Iceberg

A beginner-to-intermediate introduction covering the metadata layer, catalog integrations, and why Iceberg became the dominant table format.

Read article Agentic AI

Why AI Fails Without a Semantic Layer

The business context and governed metrics AI agents need to generate accurate, trustworthy analytical answers at scale.

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The case for open architecture

Why Build a Data Lakehouse?

Unified Access

Eliminate data silos. Query your data where it lives—in S3, ADLS, or GCS—without moving it.

Open Standards

Avoid vendor lock-in. Use open formats like Apache Iceberg and open catalogs to keep your data accessible to any engine.

High Performance

Achieve sub-second query performance on data lake scale datasets using engines like Dremio.

About the Hub

The Modern Data Stack is Open

The Data Lakehouse Hub is your central resource for tutorials, architectural guides, and community support. Whether you're migrating from a warehouse or building from scratch, we have the resources to help you succeed with open data standards.

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