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Trifacta Dataprep



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Contents:


Through the Import Data page, you can upload datasets or select datasets from sources that are stored on connected datastores. From the Library page, click Import Data.




Figure: Import Data page

General Limitations

NOTE: For file-based sources, Dataprep by Trifacta® expects that each row of data in the import file is terminated with a consistent newline character, including the last one in the file.

  • For single files lacking this final newline character, the final record may be dropped.

  • For multi-file imports lacking a newline in the final record of a file, this final record may be merged with the first one in the next file and then dropped in the Trifacta Photon running environment.



NOTE: For file-based external datastores, the following limitations apply:

  • Only the first 10,000 files can be retrieved.
  • The first sample is pulled from a maximum of the first 100 files in the directory. If the size of these 100 files is less than 10MB, the Transformer page indicates that this represents the full dataset.
  • When imported, the size computation reported in the Flow View page is over the first 10,000 files.
  • Jobs are run across all files in the directory, even if there are more than 10,000 files.

NOTE: An imported dataset requires about 15 rows to properly infer column data types and the row, if any, to use for column headers.

File and path limitations:

  • The colon character  ( :)  cannot appear in a filename or a file path.
  • Filenames cannot begin with special characters like dot ( .) or underscore( _).

Basic Workflow

1. Connect to sources

During import, the Trifacta application identifies file formats based on the extension of the filename.

  • Compressed files are recognized and can be imported based on their file extensions.
  • Filenames that do not have an extension are treated as TXT files.

Upload: Dataprep by Trifacta® can also load files from your local file system.

Tip: You can drag and drop files from your desktop to to upload them.


NOTE: You can upload a file up to 1 GB in size.


NOTE: When you upload an updated version of a previously uploaded file, the new file is stored as a separate upload altogether. In your flow, you must swap out the old dataset to point to the new one.


To change your upload location, click Edit. Navigate to the preferred Cloud Storage location.





Cloud Storage: Browse or search your Cloud Storage files to select content for import. See Google Cloud Storage Access.

BigQuery: Browse your BigQuery instance for tables to import as datasets.

If you have read permissions for multiple projects, you can read from tables that are part of other projects. See BigQuery Connections.

NOTE: When working with datasets sourced from Avro files, lineage information and the SOURCEROWNUMBER function are not supported.


Databases: If connected to a relational datastore, you can load tables or views from your database. See Database Browser.

NOTE: For long-loading relational sources, you can monitor progress through each stage of ingestion. After these sources are ingested, subsequent steps to import and wrangle the data may be faster.

For more information, see Overview of Job Monitoring.


Google Sheets: Browse or search your Google Drive for Google Sheets to import.

Feature Availability: This feature is available in the following editions:

  • Dataprep by Trifacta Enterprise Edition
  • Dataprep by Trifacta Professional Edition
  • Dataprep by Trifacta Starter Edition
  • Dataprep by Trifacta Premium
  • Dataprep by Trifacta Standard

NOTE: You must enable access to your Google Drive. No other Google Drive data is read for import.

See Import Google Sheets Data.

For more information on the supported input formats, see Supported File Formats.

New/Edit: Click to create or edit a connection. By default, the displayed connections support import.

Search: Enter a search term to locate a specific connection.

See Create Connection Window.

2. Add datasets

When you have found your source directory or file:

  • You can hover over the name of a file to preview its contents.

    NOTE: Preview may not be available for some sources, such as Parquet.

  • Click the Plus icon next to the directory or filename to add it as a dataset.

    Tip: You can import multiple datasets at the same time. See below.

  • Excel files: Click the Plus icon next to the parent workbook to add all of the worksheets as a single dataset, or you can add individual sheets as individual datasets. See Import Excel Data.

  • If custom SQL query is enabled, you can click Create Dataset with SQL to enter a customized SQL statement to pre-filter the table within the database to include only the rows and columns of interest.

    For more information, see Create Dataset with SQL.


If parameterization has been enabled, you can apply parameters to the source paths of your datasets to capture a wider set of sources. Click Create Dataset with Parameters. See Create Dataset with Parameters.

To browsing for a hidden file or folder on Cloud Storage, select Show hidden.

NOTE: Hidden folder names begin with a dot (.) or underscore (_). In general, these folders are hidden for a reason. File structures may change without notice.

Tip: If you have run a job with profiling enabled, you can import your profile files as datasets and then publish them to other datastores, such as BigQuery, for additional analysis. These files are stored in the .profiler folder beneath your job results folder in jobrun. For more information on these files, see Overview of Visual Profiling.

3. Configure selections

When a dataset has been selected, the following fields appear on the right side of the screen. Modify as needed:

  • Dataset Name: This name appears in the interface.
  • Dataset Description: You may add an optional description that provides additional detail about the dataset. This information is visible in some areas of the interface.

Tip: Click the Eye icon to inspect the contents of the dataset prior to importing.

Tip: You can select a single dataset or multiple datasets for import.


Edit settings 

You can edit any additional or optional settings for an individual dataset. Perform the following:

Steps:

  1. Click Edit Settings from the card for an individual dataset in the right panel. The dialog box is displayed. 
  2. In the dialog box, select the required options and modify the settings.

4. Import selections

Single dataset

If you have selected a single dataset for import:

Tip: If present, you can click the Add to new flow checkbox, which adds the imported datasets to an Untitled flow. For more information, see Flow View Page.

  • Click Continue. The dataset is imported. 
  • A recipe is created for it, added to a new flow, and loaded in the Transformer page for wrangling. See Transformer Page.

Multiple datasets

You can import multiple datasets from multiple sources at the same time. In the Import Data page, continue selecting sources, and additional dataset cards are added to the right panel.

NOTE: If you are importing from multiple files at the same time, the files are not necessarily read in a regular or predictable order.


NOTE: When you import a dataset with parameters from multiple files, only the first matching file is displayed in the right panel.

In the right panel, you can see a preview of each dataset and make changes as needed.

Figure: Import Multiple Datasets


If you have selected multiple datasets for import:

Tip: If present, you can click the Add to new flow checkbox, which adds the imported datasets to an Untitled flow. For more information, see Flow View Page.

  • To import the selected datasets, click Continue

    • To begin transforming one of these datasets in Flow View, select it. From its context menu, select Add new recipe. Select the recipe. In the context panel on the right, select Edit Recipe. See Transformer Page.

  • To remove a dataset from import, click the X in the dataset card.

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