---
title: "Discussion on \"Apache Iceberg for AI/ML: How Real-Time Ingestion Changes Model Training Pipelines\" | Hashnode"
description: "Discussion on \"Apache Iceberg for AI/ML: How Real-Time Ingestion Changes Model Training Pipelines\". Serve always-fresh training data to your ML models by combining RisingWave streaming SQL with Apache Iceberg time-travel and schema evolution"
url: "https://hashnode.com/posts/apache-iceberg-aiml-training-pipelines-risingwave/6a10bdb4029687802a52c991"
---

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Discussion

# [Apache Iceberg for AI/ML: How Real-Time Ingestion Changes Model Training Pipelines](https://risingwave.com/blog/apache-iceberg-aiml-training-pipelines-risingwave?utm_source=hashnode&utm_medium=feed)

Serve always-fresh training data to your ML models by combining RisingWave streaming SQL with Apache Iceberg time-travel and schema evolution

May 22 · 11 min read · risingwave.com  
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-   [#apache-iceberg](https://hashnode.com/tag/apache-iceberg)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#risingwave](https://hashnode.com/tag/risingwave)
-   [#data-engineering](https://hashnode.com/tag/data-engineering)
-   [#mlops](https://hashnode.com/tag/mlops)

## 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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