Cloudera Docs

Importing data in CSV format

Learn how to add data to Cloudera Data Visualization from flat CSV files.

You can use comma-delimited files or files with other delimiting characters. If you want to import data stored in Excel format, see Preparing Excel files for data import.

This feature is available on the following connections:
Enabled by default: Disabled by default:
  • SQLite
  • Hive
  • Impala
  • Snowflake [Technical Preview]
  • Solr [Technical Preview]
  • Spark SQL
  • DuckDB
  • MS SQL
  • Teradata
  1. On the main navigation bar, click DATA.
    The Data view appears, showing the Datasets tab.
  2. Click ADD DATA.

    The Add Data modal window appears.

  3. Add the CSV file that contains the data you want to import.
    1. Select the CSV option and click Choose file.
    2. Using your computer's file browser, locate and select the data file.
    3. Click GET DATA.
  4. In the Imported File modal window, ensure that the data you are adding is configured correctly.
    1. Verify the name of the file.
    2. Under Database, select which database you want to add data to.
    3. Under Table Name, specify a table. The system usually assigns a numerical suffix, which you can remove.
    4. Under Upon Import, select whether you only want to import data or create a dataset, or create a dataset and a dashboard based on the data.
      • If you select Create Dataset, you are directed to the Detail page of the dataset you have created after the import is completed.
      • If you select Create Dataset and Dashboard, you are directed to the newly created dashboard when the import is completed.
    5. For Column Delimiter, define the delimiter used in the source file. It can be Comma, Tab, Space, Semicolon, Colon, Pipe, Control A, or Other.
    6. Under Locale Setting, you can select one of the common locales: United States, United Kingdom, Sweden, Norway. Or you can select Other to add a separate field next to the locale setting, where you can specify the supported locale. For more information, see Changing the locale setting of an imported file.
    7. Under Options, select the data clean-up tasks that Data Visualization provides prior to data import. These include Create "EXTERNAL" table, File contains headers, Fill missing columns, Skip malformed rows, and Use '\' as escape character.
    8. In the Data Table preview, each column of the table appears with its data type and name.
      The data types available are Boolean, Integer, Real, String, and Timestamp.

      Cloudera Data Visualization detects the data type automatically, but you can modify them as needed (for example store numerical categories as strings).

      You can change the name of the table column before importing.

    9. Click APPLY CHANGES to save the adjustments you have made.
  5. Click CONFIRM IMPORT.
    The Confirm File Import modal window appears, where you have to click CONFIRM IMPORT again to finalize the import.
  6. To verify that the data has been imported correctly into your system, check the Connection Explorer interface.