enables analysts, data specialists, and other domain experts to quickly cleanse and transform datasets of varying sizes for use throughout 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:

• Import from flat file

• Locate and remove or modify missing or mismatched data 
• Unnest complex data structures
• Identify statistical outliers in your data for review and management
• Perform lookups from one dataset into another reference dataset
• Aggregate columnar data using a variety of aggregation functions
• Normalize column values for more consistent usage and statistical modeling
• Merge datasets with joins
• Append one dataset to another through union operations

Most of these operations can be executed with a few mouse clicks. This section provides a basic overview of common workflows through .

Pre-requisites

Before you begin, please verify the following:

1. : You have a  and can login. 

2. 
   

3. Example data: You should use a sample set of data during this workflow.

Basic Workflow

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