Quick guide to Data Fabric

This topic provides a summary of main product features.

Sending data to Data Lake

You can send data to Data Lake in these ways:

Viewing data in Data Lake

You can view data in Data Lake with Atlas.

For information on how to use Atlas, see Viewing data in Data Lake.

Validating data in Data Lake

With Data Ledger, you can validate that data that is sent from a source application made it into Data Lake.

For information on how to use Data Ledger, see Validating data in Data Lake.

Extracting data from Data Lake

You can extract data from Data Lake in these ways:

  • Data Lake Retrieval APIs
  • Export data object from Atlas. In Atlas, select a data object, click the three-dot icon in the toolbar, and select Export to CSV.

See Using the data object retrieval APIs.

Querying data from Data Lake

You can query data from Data Lake with these tools:

Deleting data from Data Lake

To delete data from Data Lake, see these sections:

Using Metagraphs

With Metagraphs, you can view and define relationships between data objects that are stored in Data Lake. With Metagraphs, you can also generate a Data Lake view based on the information defined in the model. These views can then be queried through the Compass Query Platform.

See Metagraphs.

Enforcing data security

Before you switch on data security, ensure that you grant permissions to the users and applications that require and are entitled to use data from Data Lake.

By default, the DATAFABRIC-SuperAdmin security role has full access to all Data Lake objects and views and to all pages and features.

By default, the Infor-SystemAdministrator role has full access to all pages and features.