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  1. Using Dataiku - Dataiku Community

    Dec 2, 2025 · Ask your questions about how to get the most out of your Dataiku usage and connect with others just like you.

  2. How to do Nested IF conditions in DataIku

    Aug 30, 2024 · Hi Team, I have a requirement like below to do a nested if condition.

  3. Writing to partitions - Dataiku Community

    Hello everyone, I'm working with datasets with partitions, I found a post showing how to read a partition from a dataset but I have not found a way to write that partition down on another dataframe in the …

  4. Using date variables - Dataiku Community

    Sep 24, 2022 · Hi, I'm wanting to store a date in the project variable list, but can't figure out how to make the variable read as a date in, say, a formula step in a recipe.

  5. How to fill empty cells selectively — Dataiku Community

    Hi, I have a data set like this (see below). I want to fill the cells in column (C%). If the ID is the same, the C% value is the same.

  6. Reading partitions one at a time from Python - Dataiku Community

    Mar 5, 2020 · Hi, I am trying to read a partitioned dataset using Python. I got a list of partitions using the following code.

  7. Dynamic Date filter based on current date - Dataiku Community

    Hi @JimCreech , You may also want to check out dynamic date filters in the Prepare's ' filter rows/cells on date ' processor. There you can set a filter to run against a date range that is relative to when the …

  8. Storing API keys securely - Dataiku Community

    Dear Dataiku Team, Thank you for all your good work with Dataiku environment - we are looking forward to using new functionality with Dataiku 7!

  9. Move objects and Zones on the Flow — Dataiku Community

    Jun 23, 2022 · I think it would be very useful to be able to move objects and flow zones around in the flow display. It appears Dataiku determines where each recipe, dataset, etc go in the flow and I …

  10. Home - Dataiku Community

    Welcome to the Dataiku Community: a peer-to-peer community to discuss data preparation, analytics, machine learning and AI on the Dataiku platform.