Data views

Data views allow you to access subsets of data items from CONNECT data services in data-driven applications, where the items can be used for data science enablement. With data views, you can bridge your raw CONNECT data services data to third-party applications like Microsoft Power BI, where it can be used for analytics, machine learning, and so on. You can programmatically retrieve data view content using the CONNECT data services API. Data views deliver shaped data that is ready for consumption because it is normalized, aligned, and contextualized.

Working with a data view involves two phases:

1. Data view creation and configuration

2. Data set retrieval

Data view creation and configuration

First, you must create and configure a data view. The CONNECT data services resources included in the data view are based on the result of one or more queries, which you must configure. Streams, assets, and other resources that can be included in a data view are known as data items. Streams shared to communities can also be included. Properties from data objects and information about the data items (such as Id and Metadata) can be included in the data view as fields.

For more information, see Create and configure a data view.

Data set retrieval

After you create and configure a data view, you can programmatically retrieve the data set that it resolves to using the CONNECT data services REST API. With a data-driven application (like Microsoft Power BI), you can leverage the data view for data science enablement.

For more information, see Retrieve data for a data view.