All Apps and Add-ons

Splunk new Datasets feature

splunkreal
Influencer

Hello guys,

could you explain me differences between data models and datasets?

It seems Pivot reports are based either on datamodels or datasets but both look similar?

In V6.5 : are pivot reports now based on tables instead of data models?

Thanks for the clarification.

* If this helps, please upvote or accept solution if it solved *
0 Karma
1 Solution

mattness
Splunk Employee
Splunk Employee

In 6.5 there was a terminology change. The term "data model object" was replaced by "data model dataset." Nothing about the functionality actually changed. Splunk is just clarifying that data models are in fact made up of hierarchies of datasets.

Nothing has changed for Pivot with regard to how it works with data models except for this terminology change. Previous to 6.5, you had to select a data model object and open it in Pivot. Now you select a data model dataset and open it in Pivot.

The concept of datasets was formally introduced in 6.5. You can use the new datasets functionality to work with three new dataset types. Two of these types already existed as knowledge objects: lookups and data model datasets. The third type, table datasets, is new to Splunk.

For more information about dataset types, see http://docs.splunk.com/Documentation/Splunk/6.5.0/Knowledge/Aboutdatasets

One difference for Pivot now is that any dataset type can be opened in Pivot. You can do this from the Datasets listing page. For more information see http://docs.splunk.com/Documentation/Splunk/6.5.0/Knowledge/Workwithdatasets#Open_a_dataset_in_Pivot

View solution in original post

mattness
Splunk Employee
Splunk Employee

In 6.5 there was a terminology change. The term "data model object" was replaced by "data model dataset." Nothing about the functionality actually changed. Splunk is just clarifying that data models are in fact made up of hierarchies of datasets.

Nothing has changed for Pivot with regard to how it works with data models except for this terminology change. Previous to 6.5, you had to select a data model object and open it in Pivot. Now you select a data model dataset and open it in Pivot.

The concept of datasets was formally introduced in 6.5. You can use the new datasets functionality to work with three new dataset types. Two of these types already existed as knowledge objects: lookups and data model datasets. The third type, table datasets, is new to Splunk.

For more information about dataset types, see http://docs.splunk.com/Documentation/Splunk/6.5.0/Knowledge/Aboutdatasets

One difference for Pivot now is that any dataset type can be opened in Pivot. You can do this from the Datasets listing page. For more information see http://docs.splunk.com/Documentation/Splunk/6.5.0/Knowledge/Workwithdatasets#Open_a_dataset_in_Pivot

Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

New Release of Federated Search: Bringing Splunk Analytics to More of Your Data

Organizations today are generating more data than ever and storing it across cloud object stores, data lakes, ...

Inside Event Intelligence: How ITSI Turns Network Alerts into Actionable Incidents

Tech Talk Inside Event Intelligence: How ITSI Turns Network Alerts into Actionable Incidents   Correlating ...

Observability Simplified: Combining User Experience, Application Performance & ...

  Tech Talk Network to App: Observability Unlocked   Today’s digital environments span applications, ...