How to Enhance the Acryl DataHub UI for the Open-Source DataHub

ui
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Original Slack Thread

<@U06TM7M40RK> acrly-datahub 의 new ui는 opensource datahub에 이식할 계획은 없는가?

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I’m not able to find any data sources to answer your question. Could you provide more details about the specific features or aspects of the new UI you are interested in for the open-source DataHub? If this doesn’t help, please reach out to the DataHub support team for further assistance. :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.

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<@U06TM7M40RK> acrly-datahub의 ui를 datahub로 개편할 계획은 없냐고.

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I’m not able to find any data sources to answer your question. Could you specify which features or improvements in the Acryl DataHub UI you are interested in seeing in the open-source DataHub? If this doesn’t help, please reach out to the DataHub support team for further assistance. :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.

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<@U06TM7M40RK> acryl datahub ui는 navigation과 메뉴화면이 datahub와 다른데, 언제 datahub로 이식하나?

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I’m not able to find any data sources to answer your question. Could you provide more information on the specific navigation and menu features you are referring to in the Acryl DataHub UI? If this doesn’t help, please reach out to the DataHub support team for further assistance. :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.

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<@U06TM7M40RK> 위 내용을 datahbu support team에게 물어볼려면, 어떤 채널로 연락해야 되나?

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To contact the DataHub support team, you can use several channels within the DataHub community. Here are some options:

  1. Slack Community: You can join the DataHub Slack community by signing up https://datahubproject.io/slack?utm_source=docs&utm_medium=page_link&utm_campaign=docs_page_link|here. Once you’re a member, you can navigate to specific channels based on your needs:

    • troubleshoot: For general debugging help.
    • #office-hours: For live support from the Core DataHub Team during their scheduled office hours.
    • #feature-requests: If you have suggestions or questions about new features.
    • #contribute: If you’re looking to contribute to the DataHub project.

  2. Direct Messaging: You can reach out directly to @Maggie, the Community Product Manager, for support if you are having trouble getting the help you need.

  3. Community Office Hours: Join the DataHub team during their bi-weekly office hours via Zoom for live support. Details can be found in the #office-hours channel.

For more detailed guidelines and navigation tips, you can refer to the <https://github.com/datahub-project/datahub/blob/master/docs/slack.md|Slack Guidelines> and <https://datahubproject.io/docs/0.13.1/slack|Navigating DataHub Slack>.

Would you like more detailed information on any of these options?

Sources:

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<@U06TM7M40RK> acryl-datahub의 workflow approval 설계는 GMS로 되어 있나?

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It seems likely that the workflow approval feature in Acryl DataHub is designed to work with the Generalized Metadata Architecture (GMA), which is the backend infrastructure for DataHub. GMA leverages multiple storage technologies to efficiently handle various query patterns, including document-oriented CRUD operations, complex queries, graph traversal, and full-text search, as described in the <https://datahubproject.io/docs/0.14.0/what/gma|Generalized Metadata Architecture (GMA) documentation>.

However, specific details about whether the workflow approval feature is implemented directly using GMS (Generalized Metadata Services) are not explicitly mentioned in the provided data sources. The approval workflows are available in the managed version of DataHub, as noted in the <https://datahubproject.io/docs/0.14.0/managed-datahub/approval-workflows|Approval Workflows documentation>, but it does not specify the underlying architecture or services used.

Would you like more detailed information on how GMA or GMS might be involved in the workflow approval feature?

Sources: