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Dark Mode
Every developer needs a dark mode A dark theme for the flow, datasets, and recipe configs would go a long way toward making Dataiku fit into workflows that involve many other dark mode tools. Dataiku is definitely very bright when swapping from other tools which operate in dark mode. Extensions like Dark Reader do a pretty…
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Properly implement support for Building Flow Zones in Scenarios and the Dataiku API
In Dataiku v12.0.0 a new feature was added that allows users to build flow zones from the flow UI: https://knowledge.dataiku.com/latest/data-preparation/pipelines/tutorial-build-modes.html#build-a-flow-zone This works well however this capability was never added properly to Scenarios and to the Dataiku API. In 12.1.0…
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Maintain case of SQL table name when creating SQL datasets
Currently, when a SQL dataset is created, the name of the associated SQL table is set to PROJECTKEY_tablename regardless of the case of the SQL dataset name. It would be great if either the case of the dataset name was maintained in the SQL table name (so dataset ABC would result in a SQL table name of PROJECTKEY_ABC…
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Costing/Subscription plans for Dataiku
Can anyone help me with the costing plans for Dataiku for the paid edition and the different services and limitations offered with each plan. Just need an overview regarding this. Operating system used: Windows Operating system used: Windows
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Being able to set User Settings via Python API
There are now more user settings than ever in the user's profile page (DSS/profile/). In v12.3.2 there are now 10 different email notification settings. We would like to be able to customise these to our preferred defaults via the Dataiku Python API. Currently the Dataiku Python API does not support this. Thanks
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Allow nested flow zones
Hi, I use flow zones a lot and appreciate the value. Why not extend the capability and allow nested flow zones, i.e. a flow zone within a flow zone? thx
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Add support for Pandas 2.0
Pandas 2.0 can bring great performance improvements when using the pyarrow backend: https://towardsdatascience.com/pandas-2-0-a-game-changer-for-data-scientists-3cd281fcc4b4
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Improve Code Env Rebuild Process for On Prem Upgrades
When upgrading Dataiku in place, it can take 10+ hours to rebuild images and all code envs. Workarounds include including core packages in base images or caching pypi indices but these are minor. Upgrade time scales linearly with the number of envs on nodes, which is unfortunate. We cannot execute an actual blue/green…
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Managed-datasets Metadata Synchronization Across Multiple DSS Instances
Use Case As an organization, we utilize three distinct DSS instances to manage our data analytic and ML workflows: * Self-Service and Data Products Consumption Instance: For end-users to consume data products, and work independently by having access to curated data. * Design and Development Instance: For designing and…
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Prevent deletion of objects that are used in Scenarios
The stability of our workloads is very important to us. We now have significant dependencies in our Dataiku platform so we are very sensitive to any changes that can impact our scheduled scenarios. After being burnt multiple times we have identified a series of user actions that can result in scenarios failing without the…