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@VioletM VioletM commented Oct 22, 2025

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@VioletM VioletM requested a review from rudolfix October 22, 2025 17:24
@VioletM VioletM added the documentation Improvements or additions to documentation label Oct 22, 2025
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LGTM! but I think availability is not clear. see my comments. Also I added a chapter to MCP Server doc that may be usefult in overview? (or we hide this)

- [Iceberg support](ecosystem/iceberg.md)
- [Secure data access and sharing](features/data-access.md)
- [AI workflows](features/ai.md): agents to augment your data engineering team.
* Transformations
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Should mention workspace? ie "Extended developer experience" or something like that.

3. Do not forget to read our [EULA](EULA.md) and [Special Terms](EULA.md#specific-terms-for-the-self-issued-trial-license-self-issued-trial-terms)
for self issued licenses.
:::note
* You can start on Basic and upgrade to Scale or Enterprise later, no code rewrites.
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Not sure about that tbh. I think Scale will be more opinionated on how to write code. It will be more declarative. But what we can do for sure: anything that works in OSS will work in dlthub without code changes.

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Looks good! left some small comments


dltHub is a commercial extension to the open-source data load tool (dlt). It augments it with a set of features like transformations, data validations,
iceberg with full catalog support and provides a yaml interface to define data platforms. dltHub features include:
dltHub is built around the open-source library [dlt](../intro.md). It uses the same core concepts (sources, destinations, pipelines) and extends the extract-and-load focus of `dlt` with:
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what about the diagram you've built for LLM_native data platform book? it was very useful

@VioletM VioletM force-pushed the docs/dlthub_intro branch 5 times, most recently from 0ce4709 to a516549 Compare October 26, 2025 22:31
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LGTM!

@rudolfix rudolfix merged commit 38b0dec into devel Oct 27, 2025
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@rudolfix rudolfix deleted the docs/dlthub_intro branch October 27, 2025 15:23
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