Page tree

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Comment: Published by Scroll Versions from space DEV and version next

...

D s product
rtrue
 enables analysts, data specialists, and other domain experts to quickly cleanse and transform datasets of varying sizes for use in other analytics systemsthroughout the enterprise. Using an innovative set of web-based tools, you can import complex datasets and wrangle them for use in virtually any target system. Key capabilities include:

...

Before you begin, please verify the following:

  1. D s item
    itemaccount
    : You have a 
    D s item
    itemaccount
     and can login. 

  2. If you do not have an account, you may be able to self-register through the application. 
  3. Example data: You should use a sample set of data during this workflow.

...

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

  6. Export results: Export the generated results data for use outside of
    D s product
    . See Export Basics.

...