...
Excerpt |
---|
Explore the objects that you create and their relationships. Flows, imported datasets, and recipes are created to transform your sampled data. After you build your output objects, you can run a job to transform the entire dataset based on your recipe and deliver the results according to your output definitions. |
Flow Structure and Objects
Within
D s product | ||
---|---|---|
|
...
D caption | ||
---|---|---|
| ||
Flow Example |
Type | Datasets | Description |
---|---|---|
Standard job execution | Recipe 1/Job 1 | Results of the job are used to create a new imported dataset (I-Dataset 2). See Job Details Page. |
Create dataset from generated results | Recipe 2/Job 2 | Recipe 2 is created off of I-Dataset 2 and then modified. A job has been specified for it, but the results of the job are unused. |
Chaining datasets | Recipe 3/Job 3 | Recipe 3 is chained off of Recipe 2. The results of running jobs off of Recipe 2 include all of the upstream changes as specified in I-Dataset 1/Recipe1 and I-Dataset 2/Recipe 2. |
Reference dataset | Recipe 4/Job 4 | I-Dataset 4 is created as a reference off of Recipe 3. It can have its own recipe, job, destinations, and results. |
Flows are created in the Flows page. See Flows Page.
...