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1. Review object overview: Before you begin, you should review the overview of the objects that are created and maintained in

   D s product

   . See Object Overview.
2. Import data: Integrate data from a variety of sources of data. See Import Basics.
3. Profile your data: Before, during, and after you transform your data, you can use the visual profiling tools to quickly analyze and make decisions about your data. See Profiling Basics.
4. Build transform recipes: Use the various views in the Transformer Page to build your transform recipes and preview the results on sampled data. See Transform Basics.

5. Sample your data: In 

   D s product

   , you create your recipes while working with a sample of your overall dataset. As needed, you can take new samples, which can provide new perspectives and enhance performance in complex flows. See Sampling Basics.

6. Run job: Launch a job to run your recipe on the full dataset. Review results and iterate as needed. See Running Job Basics.

7. Export results: Export the generated results data for use outside of

   D s product

   . See Export Basics.

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