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0.15.0
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The v0.15 release of the platform comes with the following enhancements:

  • Data Deprecation: To enhance your interaction with our platform, we've introduced various statuses for data entities: 'General', 'Draft', 'Stable', 'Deprecated', and 'Deleted'. Accessible via both the API and frontend, these statuses provide critical insights into your data entities' condition. Notably, we've incorporated a unique automatic transition mechanism, allowing 'Deprecated' and 'Draft' statuses to change to 'Deleted' after a specific period. Furthermore, for the first time on our platform, we're introducing the ability for users to permanently remove entities, adding an extra layer of control over your data assets. With additional catalog filters and status propagation to entities within a DEG, this feature significantly improves data asset tracking.
  • Metadata Stale: We've introduced an intuitive way to identify entities that haven't been updated for an extended period. This feature introduces a distinctive icon in the UI, serving as an alert that the data entity may be stale. This 'staleness' period is entirely configurable, offering flexible controls to align with your unique operational needs. This feature enhances the user interface's clarity, ensuring that you're always aware of the freshness of your data entities.
  • Business Terms Linking: In our ongoing effort to streamline and enhance user interaction, we've implemented markdown-based descriptions that enable 'mentions' of Business Terms. This innovation allows for seamless linking of Business Terms within a description text, doing away with the need for button clicking in the UI. Furthermore, the system will automatically detect and parse these 'mentions', displaying a convenient list on the UI. To enhance user understanding, hovering over a mentioned Business Term will trigger a wiki-style info box with relevant details. This feature offers a more intuitive, connected, and context-rich experience in managing your Business Terms.
  • Markdown in Dataset Field Descriptions: In keeping with our mission to provide a cohesive user experience, we've extended markdown support to the dataset field descriptions. This feature brings the familiarity and convenience of markdown formatting that our users enjoy in Data Entity descriptions to the dataset fields. Now, your dataset field descriptions can benefit from the enhanced readability and flexibility that markdown formatting offers.

As always, none of this would be possible without the dedicated work of our incredible contributors. A massive thank you to all who contributed to this release, your efforts are greatly appreciated!

As always, we're eager to hear your feedback. Reach out with your thoughts, and let's make our and your platform even better together!

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