Expand your knowledge of Data Sources by creating a connection to external data, then learn to use different techniques to fetch and display that data.
In today's world, data is everywhere - KnowledgeKube included. At this point, you should already have some familiarity with how KnowledgeKube can process data - from single values captured by questions, to more complex data assembled and parsed using formats such as Character-Separated Values (CSV). In part two of the KnowledgeKube Training Academy course you were taught how simple string data, structured as CSV, can be interpreted as though it were a database table, then used to drive form content such as grids.
You also learned how to save the data collected within a KnowledgeKube form, allowing that data to persist and be recalled for later use by a tabular interface known as a Model Data Browser. All of these things are extremely useful, and serve as an introduction to the concept of structured, re-usable data. But the true power of KnowledgeKube's data layer lies in its ability to connect to, and interact with, a vast range of databases, including those completely separate to its native environment.
In this module, you'll be expanding what you've already learned about data sources by creating a Connection to some external data, then using a few different techniques to fetch and display that data. We'll be using a relatively simple type of read-only data source for this module, namely a Rich Site Summary (RSS) feed, and the resulting application will allow users to view the data, but not edit it.
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