This question is asking about the compatibility of a system or platform with various data sources and asset types. It seeks to understand what kinds of data inputs and asset categories can be integrated or utilized within the system.

IBM provides over 30 connectors to cloud or on-premises data-source types that will allow you to connect to your remote data assets. For example, connectors to IBM Db2® in the cloud or on premises, IBM Cloudant®, IBM Cloud™ Object Storage, Oracle, Microsoft SQL Server, Microsoft Azure, Amazon S3, Salesforce.com, Hortonworks HDFS, Sybase and many more are available from IBM. In addition to assets from remote data sources, Watson Knowledge Catalog supports other asset types, such as structured (row/column), semi-structured and unstructured data. For example, you can add CSV, Microsoft Excel, PDF, Text, Microsoft Word, Jupyter Notebook (IPYNB), image and HTML files, to name a few, to the catalog to profile and share with other users.