In our first post introducing Oracle Big Data Discovery, we highlighted the data transform capabilities of BDD. The transform editor provides a variety of built in functions for transforming datasets. While these built in functions are straightforward to use and don’t require any additional configuration, they are also limited to a predefined set of transformations. Fortunately, for those looking for additional functionality during transform, it is possible to introduce custom transformations that can leverage external Java libraries by implementing a custom Groovy script. The rest of this post will walk through the implementation of a basic example, and a subsequent post will go in depth with a few real world use cases.
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