---
title: "Discussion on \"Building a Data Vault on Apache Iceberg with RisingWave\" | Hashnode"
description: "Discussion on \"Building a Data Vault on Apache Iceberg with RisingWave\". How to implement a streaming Data Vault 2.0 architecture using RisingWave for real-time CDC ingestion and Apache Iceberg for durable hub, link, and satellite storage"
url: "https://hashnode.com/posts/data-vault-apache-iceberg-risingwave/69d039421232b69dcb207f73"
---

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# [Building a Data Vault on Apache Iceberg with RisingWave](https://risingwave.com/blog/data-vault-apache-iceberg-risingwave?utm_source=hashnode&utm_medium=feed)

How to implement a streaming Data Vault 2.0 architecture using RisingWave for real-time CDC ingestion and Apache Iceberg for durable hub, link, and satellite storage

Apr 3 · 5 min read · risingwave.com  
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-   [#apache-iceberg](https://hashnode.com/tag/apache-iceberg)
-   [#cdc](https://hashnode.com/tag/cdc)
-   [#data-modeling](https://hashnode.com/tag/data-modeling)
-   [#data-vault](https://hashnode.com/tag/data-vault)
-   [#risingwave](https://hashnode.com/tag/risingwave)

## Written by

[RisingWave Labs](https://hashnode.com/@RisingWaveLabs)

@RisingWaveLabs · Bay Area, California

  
[View profile](https://hashnode.com/@RisingWaveLabs)

RisingWave is an open-source real-time event streaming platform.

RisingWave is a real-time event streaming platform designed to offer the simplest and most cost-effective way to process, analyze, and manage real-time event data — with built-in support for the Apache Iceberg™ open table format. It provides both a Postgres-compatible SQL interface and a DataFrame-style Python interface. RisingWave can ingest millions of events per second, continuously join and analyze live streams with historical data, serve ad-hoc queries at low latency, and manage data reliably in Apache Iceberg™ tables.

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