When data is imported, a reference to it is stored by the platform as an imported dataset. The source data is not modified. In the application, you modify the recipe associated with a dataset to transform the imported data.
NOTE: Any user with a valid user account can import data from a local file.
Login to the application.
Tip: When you login for the first time, you can immediately import a dataset to begin transforming it.
- In the menubar, click Datasets Library. Click Import Data.
To add a dataset:
- Select the connection where your source is located. For this basic workflow, select Upload to upload a file from your local desktop. You can select multiple files to upload. For this example, select only one file.
- Navigate and select the file or files for your source. Click Open.
- To queue the dataset for uploading, click the Plus icon next to its name.
To begin working with a your dataset, you must first add it into a flow, which is a container for datasets. Click the Add Dataset to a Flow checkbox and enter the name for a new flow. Click Import & Add to Flow.
Tip: If you have selected a single file, you can begin wrangling it immediately. Click Import and Wrangle. The Tip
click Continue. The flow is created for youand is named based on the dataset name. Your
, and your dataset is automatically added to it.
- After the flow has been created, you You can begin working with the flow objects. See Flow View Page.
- Select the dataset and click Create New Recipe.
- Now, click Edit Recipe to begin working immediately with the dataset in the Transformer page. See Transform Basics.
Tip: If you are interested, you can create a visual profile of your source data before you begin transforming. For more information, see Profiling Basics.
For For more information, see Import Tasks.
http://trifacta-public-datasets.s3.amazonaws.com/demo-datasets/customers_sample_data.csvThe above dataset is used as part of the on-boarding tour presented to new users.