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Welcome to the Dataiku Community: a peer-to-peer community to discuss data preparation, analytics, machine learning and AI on the Dataiku platform.
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.
Refresh/Reload Dataset - Dataiku Community
Welcome to the Dataiku Community! To answer your question you can manually refresh the sample for a SQL dataset. In DSS when you add a SQL dataset it will fetch a sample by …
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 …
Save DataFrame to a managed folder — Dataiku Community
I am trying to save a pandas DataFrame to a managed folder in Dataiku. My code:
Remove Duplicates based on one column — Dataiku Community
Muhanned Partner, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered Posts: 2 Partner March 2022 Yes, I agree with @Jurre . You achieve the …
Troubleshooting Issues and Getting Help With Dataiku
Dataiku revolutionizes how companies work with their data, enabling any user — from beginners with no programming knowledge to experienced data scientists with advanced knowledge and …
Add/Remove Column in existing dataset — Dataiku Community
Feb 21, 2023 · Hi All, I have an existing dataset created with 2 columns. I now want to add in a new column to the existing data set. How do I add it?
Mount shared drive to DSS managed folder - Dataiku Community
Hi all, I want to access multiple files located in a folder on a shared G drive. I read few posts which tells about mounting local/shared drives to Dataiku managed folder for accessing these files …
How to use Send email plugin? - Dataiku Community
Jul 26, 2023 · Hi, everyone. I want to send a mail using the Send email plugin. I set the field like this: Recipient (column): mail Sender (value): [email protected]