Data Center
  • Data Center
    • Homepage
    • Data Connectors
      • Create Data Connector
      • Data Connector List
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      • Supported Data Connectors
        • Database Connectors
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          • PostgreSQL
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        • File Data Connector
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          • 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
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          • 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 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
          • Sharing a Data Set
          • Publishing a Data Set
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          • 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 Metadata Store
        • Deleting Meta Data Store
    • Data Sheets
      • Creating a New Data Sheet
      • Editing a Data Sheet
      • 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 Stores
  3. Data Stores List

Edit a Data Store

PreviousData Stores ListNextRefresh Data for a Data Store

Last updated 8 months ago

  • Navigate to the Data Stores list page.

  • Select a Data Store from the Data stores list.

  • Click the View/Edit icon for that Data Store.

  • The selected Data Store opens in the editable format.

  • You can edit the permitted information from the Data Store form.

  • Select the Next option.

  • The user can edit the required details under the various steps of the Data Store till the last step gets configured.

  • Click the Finish option.

Please Note:

  • The steps required to create/edit a Data Store may vary based on the categories of the Data Source used.

  • The Finish option is provided on the last tab of the Data Store creation.

  • A confirmation message appears, and the selected Data Store gets updated.

Please Note: For the Database category of the Data Stores the user needs to Validate the information before saving it.