Advance Designer Certificate Exam Step 9

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timchen
timchen Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered, Dataiku DSS Developer Posts: 7 ✭✭✭

Hello,

I am working on creating the flow on Dataiku Advance Designer Certificate Assessment.

I am having an issue with redispatch

From the hands-on tutorial, there is an option for Redispatch:

Screen Shot 2021-08-28 at 14.21.56.png

However, in the flow I am creating, I didn't see this option

Screen Shot 2021-08-28 at 14.23.02.png

Did I miss any steps or I am thinking to the wrong step.

Can you please guide me how to solve step #9?

(I have confirmed from step 8 I have 67 rows in the dataset 2010)

I am on version 9.0.2

Thank you!

Best,

Tim

Best Answer

  • Alexandru
    Alexandru Dataiker, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered Posts: 1,209 Dataiker
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    Hi Tim,

    The Redispatch option will show up only after you add partitions to the output dataset. The steps would be :

    1. Create the Sync recipe, go back to the flow.

    2. Edit the output dataset partitions go to Settings -> Partitioning -> Activate Partitioning, Add the required dimension and Save

    3. Got back the Sync recipe and the Redispatch option should appear.

Answers

  • timchen
    timchen Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered, Dataiku DSS Developer Posts: 7 ✭✭✭
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    Hello Alex,

    Thanks for getting back to me. Can you give me some hint about the pattern and name.

    I don't know how to get the setting align with the requirement.

    Thank you!

  • Alexandru
    Alexandru Dataiker, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered Posts: 1,209 Dataiker
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    Hi Tim,

    The instructions for step 9 mention :

    Using a Sync recipe, redispatch the data in the Online_Retail_to_2010 dataset into partitions given by the stock_code (a discrete identifier). That is, create partitions for each stock code.

    So you should end up with a dataset partitioned by the discrete identifierr stock_code. Hope this helps!

  • Alexandru
    Alexandru Dataiker, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered Posts: 1,209 Dataiker
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    Additionally, there is an example here: https://knowledge.dataiku.com/latest/kb/data-prep/partitions/partitioning-redispatch.html that may be helpful in understanding this concept.

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