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      • Creating a Data Connector
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      • Supported Data Connectors
        • Database Connectors
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          • Amazon
          • App Store
          • Bing Ads
          • Dropbox
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          • Facebook
          • Facebook Ads
          • Firebase DB
          • Fitbit
          • Flipkart
          • Google AdWords
          • Google Analytics
          • Google Big Query
          • Google Forms
          • Google Sheet
          • HubSpot
          • Jira
          • Lead Squared
          • Linkedin
          • Linkedin Ads
          • MS Dynamics
          • Mailchimp
          • QuickBooks
          • SalesForce
          • ServiceNow
          • Twitter
          • Twitter Ads
          • Yelp
          • YouTube
          • ZOHO Books
        • Others
          • MS Sql Olap
          • Data Store
          • OData
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          • AWS Redshift
          • SAP HANA
    • Data Sets
      • Creating a New Data Set
        • Creating a New Data Set using RDBMS Connector
        • Creating a Data Set using Arango DB Connector
        • Creating a Data Set using an API Connector
        • Creating a New FTP Data Set
        • Creating a Data Set based on an Elastic Connector
      • Data Set List
        • View Options: Data Sets List Page
        • Data Set List: Actions
          • Editing a Data Set
          • Publishing a Data Set
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          • Push to VCS
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          • Deleting a Data Set
          • Data Preparation
          • Visualize
            • Deleting a Widget
    • Data Stores
      • Creating a New Data Store
        • Data Store using an RDBMS Connector
        • Data Store using a Flat File Data Connector
        • Data Store using an API Data Connector
      • Data Stores List
        • Edit a Data Store
        • Refresh Data for a Data Store
        • Store Info
        • Sharing a Data Store
        • Adding Synonyms to a Data Store
        • Push to VCS
        • Pull from VCS
        • Delete a Data Store
        • Visualize
          • Deleting a Widget
    • Data Store Meta Data
      • Creating a New Meta Data Store
      • Data Store Meta Data List
        • Store Details
        • Adding Synonyms to Meta Data Store
        • Refresh Synonyms
        • Sharing a Metadata Store
        • Editing Meta Data Store
        • Deleting Meta Data Store
    • Data Sheets
      • Creating a New Data Sheet
      • Publishing a Data Sheet
        • Entering Data
        • Viewing Data
        • Deleting a Row
      • Editing a Data Sheet
      • Removing a Data Sheet
    • Data Sandbox
      • Creating a New Data Sandbox
      • Data Sandbox List
        • Upload File Status
        • Using the Data Preparation Option
        • Deleting a Data Sandbox
        • Visualize
          • Deleting a Widget
        • Create Data Store
        • Reupload
    • Data Catalog
    • Data as API
    • Data Preparation
      • Accessing the Data Preparation Option
      • Data Preparation Workspace
        • Data Preparation Landing Page
        • Profile: Summary Pane
          • Charts
          • Suggestions
          • Info: Values/Statistics
          • Pattern
        • Transforms
          • Advanced
          • Anonymization
          • Columns
          • Conversions
          • Data Cleansing
          • Dates
          • Functions
          • Integer
          • ML
          • Numbers
          • String
        • Steps
      • Data Preparation List
        • Rename
        • Edit
        • Delete
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  1. Data Center
  2. Data Sandbox
  3. Data Sandbox List

Upload File Status

PreviousData Sandbox ListNextUsing the Data Preparation Option

Last updated 1 year ago

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  • Navigate to the Data Sandbox list page.

  • Click the Upload File Status iconfor a Data Sandbox.

  • A success message appears, and the Data Sandbox gets uploaded to the DS Lab module.

  • Navigate to the Add Dataset page for a Project using the Data Science Lab module.

  • Select the Data Sandbox option as a Data Source.

  • You can see the uploaded Data Sandbox listing at the top of the displayed Data Sandbox list.

  • Select the Sandbox file by using the Checkbox provided next to it.

  • Click the Add option to add it in that DS Lab Project.​

Please Note:

  • The Add option appears on the Add Datasets page only after selecting a Data source (For the given example, it is a Data Sandbox).

  • The user can use the Search bar to search for a specific Data source (For the given example, it will be a Data Sandbox).