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Get Started with Datasets datasets-gs

All data that is ingested into ÃÛ¶¹ÊÓƵ Experience Platform is persisted within the Data Lake as datasets. A dataset is a storage and management construct for a collection of data, typically a table, that contains a schema (columns) and fields (rows).

Access datasets access-datasets

The Datasets workspace in ÃÛ¶¹ÊÓƵ Journey Optimizer user interface allows you to explore data and create datasets.

Select Datasets in the left-navigation to open the Datasets dashboard.

Adding data to ÃÛ¶¹ÊÓƵ Experience Platform is the foundation to building a Profile. You will then be able to leverage profiles in ÃÛ¶¹ÊÓƵ Journey Optimizer. First define schemas, use ETL tools to prepare and standardize your data, then create datasets based on your schemas.

Select the Browse tab to display the list of all available datasets for your organization. Details are displayed for each listed dataset, including its name, the schema the dataset adheres to, and status of the most recent ingestion run.

By default, only the datasets that you have ingested into are shown. If you want to see the system-generated datasets, enable the Show system datasets toggle from the filter.

Select the name of a dataset to access its Dataset activity screen and see details of the dataset you selected. The activity tab includes a graph visualizing the rate of messages being consumed as well as a list of successful and failed batches.

System datasets for ÃÛ¶¹ÊÓƵ Journey Optimizer are listed below.

Reporting

Consent

Intelligent Services

To view the complete list of fields and attributes for each schema, consult the Journey Optimizer schema dictionary.

Preview datasets preview-datasets

From the Dataset activity screen, select Preview dataset near the top-right corner of your screen to preview the most recent successful batch in this dataset. When a dataset is empty, the preview link is deactivated.

Create datasets create-datasets

To create a new dataset, start by selecting Create dataset in the Datasets dashboard.

You can:

Watch this video to learn how to create a dataset, map it to a schema, add data to it, and confirm that the data has been ingested.

Data Governance

In a dataset, browse the Data Governance tab to check labels at the dataset and field level. Data Governance categorize data according to the type of policies that apply.

One of the core capabilities of ÃÛ¶¹ÊÓƵ Experience Platform is to bring data from multiple enterprise systems together to better allow marketers to identify, understand, and engage customers. This data may be subject to usage restrictions defined by your organization or by legal regulations. It is therefore important to ensure that your data operations are compliant with data usage policies.

ÃÛ¶¹ÊÓƵ Experience Platform Data Governance allows you to manage customer data and ensure compliance with regulations, restrictions, and policies applicable to data use. It plays a key role within Experience Platform at various levels, including cataloging, data lineage, data usage labeling, data usage policies, and controlling usage of data for marketing actions.

Learn more about Data Governance and data usage labels in the Data Governance documentation

Samples and use cases uc-datasets

Learn how to create a schema, a dataset and ingest data to add Test profiles in ÃÛ¶¹ÊÓƵ Journey Optimizer in this end-to-end sample

Learn more about dataset creation in ÃÛ¶¹ÊÓƵ Experience Platform documentation.

Learn how to use Datasets UI in the Data Ingestion overview documentation.

A list of use cases with query examples is available here.