---
title: "Discussion on \"Load an on-prem database into a cloud warehouse: 1 million rows, measured\" | Hashnode"
description: "Discussion on \"Load an on-prem database into a cloud warehouse: 1 million rows, measured\". Rows per insert set the speed. Checks rewritten from a data profile caught 94% of bad rows, and personal data never left the network."
url: "https://hashnode.com/posts/load-an-on-prem-database-into-a-cloud-warehouse-1-million-rows-measured/6af32db465b9d010ed84d894"
---

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# [Load an on-prem database into a cloud warehouse: 1 million rows, measured](https://apotyondy.hashnode.dev/load-an-on-prem-database-into-a-cloud-warehouse-1-million-rows-measured?utm_source=hashnode&utm_medium=feed)

Rows per insert set the speed. Checks rewritten from a data profile caught 94% of bad rows, and personal data never left the network.

1d ago · 17 min read · apotyondy.hashnode.dev  
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-   [#dataengineering](https://hashnode.com/tag/dataengineering)
-   [#postgresql](https://hashnode.com/tag/postgresql)
-   [#databases](https://hashnode.com/tag/databases)
-   [#etl](https://hashnode.com/tag/etl)

## Written by

[Adan Potyondy](https://hashnode.com/@apotyondy)

@apotyondy · Austin, USA

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

Co-founder of Neblex. Writing about workflow orchestration, AI agents, data quality and hybrid integration.

I'm a co-founder of Neblex, an integration and automation platform that runs workflows and agents in the cloud or on-premise. Flows can check and clean data as it moves, and AI agents can build and run them alongside people. I write about workflow orchestration, AI agents, data quality and hybrid integration: what works, what breaks, and what it really costs to run. I share the numbers and how we got them, so you can test them on your own systems. If your results differ, I want to hear about it. Happy to talk integration, data pipelines or agents. Find me at neblex.com.

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