Discovering data for your investigations using the Catalog

Use the Catalog in Splunk Cloud Platform to discover available datasets and find the data you need to power your investigations before writing SPL or SPL2 searches.

The Catalog is a data discovery interface that consolidates information about the data available in your Splunk Cloud Platform deployment. It also supports a range of data management workflows. Use the Catalog to work with data across key stages of its life cycle, from onboarding to investigation:

  • Bring data in from remote data stores through connections and federated datasets.

  • Make informed storage choices by landing data in Machine Data Lake raw tables, and then promoting only the subsets of data that matter most for analysis and search.

  • Start investigations faster by finding relevant datasets and learning about them before you write your first SPL or SPL2 search.

To navigate to the Catalog, do either of the following from the global navigation bar in Splunk Cloud Platform:

  • Select the Catalog (Image of the "Catalog" icon) icon.

  • Select the Settings (Image of the "Settings" icon) icon. Then, in the Knowledge section, select Catalog.

To learn more about the Catalog, see the following pages:

See also

For information about background search operations that are used to support the Catalog, see Configure background search operations for the Catalog in the Splunk Cloud Platform Admin Manual.

For information about Catalog-supported data workflows in the context of other Splunk software, see the documentation described in the following table:

For this information Refer to this documentation
Using connections and federated datasets in federated searches to retrieve data from remote data stores The Federated Search manual
Using connections and federated datasets to process and write data to remote data stores through Edge Processor pipelines The Use Edge Processors for Splunk Cloud Platform manual
Using connections and federated datasets to process and write data to remote data stores through Ingest Processor pipelines The Use Ingest Processors manual
Landing, promoting, and working with data in Machine Data Lake The Land Data in Machine Data Lake manual