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Support Panel Webapps in DataIku
Panel is a powerful #python #mlapp framework build on top of Bokeh. A high-level app and dashboarding solution for Python — Panel 0.12.4 documentation (holoviz.org) Panel can be supported similarly to Bokeh. The Panel server is build on top of Bokeh, therefore it should be very easy to support. For example `bokeh serve` is…
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Setting up Stages in Snowflake to work with Dataiku
In Dataiku DSS when working with Snowflake there is an option to use a stage. This apparently speeds up performance by increasing the number of different types of processes one can do inside Snowflake without having to ship data back to the DSS server for processing. Are folks using this feature? What has your experience…
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Feature Upgrade Request for Dataiku - related Vector DB, PII detection
Currently, we are proposing Dataiku as a Generative AI platform to one of our key clients. During the solution evaluation process, the client identified two key functionalities that are not yet supported by Dataiku. If these features are added, I am confident that they will significantly contribute to securing a new logo.…
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Allow user email configuration in profile for on-demand email alerts when recipes complete
Hi, I know Dataiku has scenarios and I use them daily. But when I am debugging flow recipes it would be great if I could configure Dataiku how to send me an email in my profile. Then in a recipe I could just switch a radio button 'EMAIL ON COMPLETION' to ON and walk away. When I am developing in dataiku, many of my flows…
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Automated alerts from Unified Monitoring on bundle or API endpoint failure
We find the Unified Monitoring (UM) feature extremely useful as it allows us to see the health of our bundle and real-time prediction APIs. However, the is no way to be alerted if a deployment fails or if an API endpoint is down. We currently have some Python scripts that scrape the data from UM and then identify any…
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Add Seldon to deployment options
One of the deployment options in our company is Seldon (Seldon, MLOps for the Enterprise.). It would be great if Dataiku had the option to deploy directly to Seldon, the way deployment to K8, AWS, Databricks or Azure is now possible. Seldon in general deploys MLflow artefacts.
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Add support for Snowflake key-pair authentication
Currently the dataiku only support "User/Password" and "OAuth" for Snowflake connection. Snowflake has Key-pair authentication https://docs.snowflake.com/en/user-guide/key-pair-auth, which I would like to use for my service accounts.
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Export and Import of Code Studio Template
Hi, On Dataiku 12, I do not see a way to export a code studio template. How can I export a code studio template and import it into a new Dataiku instance? thx Operating system used: Windows 10 Operating system used: Windows 10
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Integration with Microsoft Fabric and its OneLake
Hi, Couldn't find anything on an integration with Microsoft Fabric through OneLake yet in the Dataiku docs/release notes. Is this coming soon? As I read the Microsoft docs I understand we can't connect directly via ADLS, only via APIs or SDKs. Thanks in advance, Jonathyan Operating system used: RHEL 8
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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