Dataprep by Trifacta® 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, databases, or distributed storage systems
- 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 tasks through Dataprep by Trifacta.
Before you begin, please verify the following:
Dataprep by Trifacta account: You have a Dataprep by Trifacta account and can login.
- Example data: You should use a sample set of data during this task.
Import data: Integrate data from a variety of sources of data.
Tip: When you login for the first time, you can immediately upload a dataset to begin transforming it.
See Import Basics.
- 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.
- 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.
Sample your data: In Dataprep by Trifacta, 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.
Run job: Launch a job to run your recipe on the full dataset. Review results and iterate as needed. See Running Job Basics.
- Export results: Export the generated results data for use outside of Dataprep by Trifacta. See Export Basics.
Object overview: You should review the overview of the objects that are created and maintained in Dataprep by Trifacta. See Application Asset Overview.
This page has no comments.