In this hands-on module, you'll have learned how to build a data mesh prototype. Let's see how it works in action.
Let’s check in on our data mesh prototype created in Hands On: Data Mesh Prototype Setup. If the prototype was successfully created, you should see a log entry similar to:
Started DataMeshDemo in 2.874 seconds (JVM running for 3.31)
The server is now running, waiting to handle requests from clients. Open a browser to the data mesh UI with
The data mesh landing page provides you an overview of the features of the data mesh prototype. The UI is designed with a loose workflow from left to right, with tabs across the top.
Start by exploring the data products in tab 1, "Explore Data Products."
For the purposes of the prototype, you are a member of the hypothetical Analytics Domain. The "Explore Data Products" tab shows the data products that are available to you. The data products listed here are event streams, though in a production environment you would also expect to see other types of data products, such as those provided by request/response APIs.
Clicking on a data product presents you with its attributes.
Below the "Data Products Detail" information are buttons that forward you to various views in the Confluent Cloud Console. Each of these views provide more detail about the data product:
In the next module we’ll look at creating a new event streaming application from an existing data product. Then we’ll publish our derived event stream as a new data product for other consumers to use.
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