Data Center
  • Data Center
    • Homepage
    • Data Connectors
      • Create Data Connector
      • Data Connector List
        • Edit Data Connectors
        • Create Option
        • Reconnecting to a Data Connector
        • Sharing a Data Connector
        • Delete a Data Connector
      • Supported Data Connectors
        • Database Connectors
          • MySQL
          • MSSQL
          • Elastic (Beta Release)
          • Oracle
          • ClickHouse
          • Athena
          • Arango DB
          • Hive
          • Cassandra
          • MongoDB
          • MongoDB for BI
          • PostgreSQL
          • Snowflake
          • Pinot
        • File Data Connector
        • API Connectors
          • API Connector
          • Amazon
          • App Store
          • Bing Ads
          • Dropbox
          • FTP Server
          • 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
          • Spark SQL
          • 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 the Pinot 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
          • Reset Filter Option
          • Editing a Data Set
          • Sharing a Data Set
          • Publishing a Data Set
          • Push to VCS
          • Pull from VCS
          • Deleting a Data Set
          • Data Preparation
    • Data Stores
      • Creating a New Data Store
        • Data Store using an RDBMS 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
        • Refresh Synonyms
        • Push to VCS
        • Pull from VCS
        • Delete a Data Store
    • Data Store Meta Data
      • Creating a New Meta Data Store
      • Data Store Meta Data List
        • Editing Meta Data Store
        • Store Details
        • Adding Synonyms to Meta Data Store
        • Refresh Synonyms
        • Sharing a Data Store Metadata
        • Deleting Meta Data Store
    • Data Sheets
      • Creating a New Data Sheet
      • Editing a Data Sheet
      • Refresh Data
      • Data Sheet Info
      • Publishing a Data Sheet
        • Entering Data
        • Applying Filter
        • Deleting a Row
      • 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
        • Create Data Store
        • Reupload
        • Preview
        • Create Datasheet
    • Data as API
    • Data Preparation
      • Accessing the Data Preparation Option
      • Data Preparation Workspace
        • Data Preparation Landing Page
        • Profile Tab
        • 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 Preparation
  3. Data Preparation List

Edit

The user can open a saved Data Preparation using the Edit option from the Data Preparation List and modify the data set as needed.​

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Last updated 8 months ago

Check out the illustration on editing a Data Preparation.

  • Navigate to the Data Preparation list page.

  • Select a Data Preparation from the list.

  • Click the Edit icon for the selected Data Preparation.

  • The user gets redirected to the Data Preparation workspace for the selected Data Preparation.

  • Review the Data Preparation and perform more transformations on the selected data.

  • Click the Save option after the required changes are committed to the selected data.

  • A notification message ensures that the modified data preparation is saved.

Modifying the existing Data Preparation
Confirmation message after modifying a Data Preparation
Editing a Data Preparation