Download the dataset content in CSV & JSON using Python SDK and Pandas library. Try following code snippet in JupyterLab notebook of Data science workspace...   from platform_sdk.dataset_reader import DatasetReaderimport pandas as pd dataset_reader = DatasetReader(get_platform_sdk_client_context(), ...

Got one workaround to download the dataset content in csv or json format. Not sure if this is standard way but serve my purpose. I've used Python SDK(DatasetReader), Pandas library in JupyterLab notebook to read & export the content in csv & json format. This was very quick. from platform_sdk.datase...

Hi @Anil_Umachigi, Thanks for your reply. This is an event data that is ingested 4 months back and I believe dataset have some expiry(ttl) on that which cause removal of the dataset from datalake. I did not check expiry for this dataset. I wanted to share the copy of dataset with other teams to do s...

Hi, Few month back, we've ingested 200K record via batch ingestion. Records were in JSON format. Now we wanted to download the records in json or csv format. We are using following Data access api to download the dataset content...  Get the batches associated with Dataset - https://platform.adobe.io...

Hi @Gokul_Agiwal,   I would suggest to let's decide some date & time and have a quick connect over the call. Excited to learn with all participants. Thanks.

@ChetanyaJain I don't know about this use case so thought to check if anyone has implemented or I can get any document or example around this.

Hi @Luca_Lattarini,  1] ID Stitching None : Multiple profile fragments are not stitched together to form single view of the customer though profile fragments may belong to same customer. This could result having multiple audience for same profile during segmentation. 2] ID Stitching Private Graph : ...

Hi @Luca_Lattarini, Since this is existing schema which might be associated with datasets having some data in it, making a field as optional could be a better option. Deleting a field from schema could make existing dataset incompatible.   

@ChetanyaJain Thanks for your efforts   I think I'm doing the same steps for sending data to non-adobe solutions from XDM data collection.  https://experienceleague.adobe.com/docs/platform-learn/implement-web-sdk/event-forwarding/setup-event-forwarding.html?lang=en In event forwarding data element ...

@ChetanyaJain I am passing XDM data into data collection and using Event forwarding property to send it to non-adobe solution. I'm using Adobe Cloud Connector extension with "Make Fetch Call' action type in Event Forwarding property. XDM compliant data is flowing to non-adobe solution. In order to s...