Data Center
  • Data Center
    • Homepage
    • Data Connectors
      • Creating a 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
          • Arango DB
          • Hive
          • Cassandra
          • MongoDB
          • MongoDB for BI
          • PostgreSQL
          • Snowflake
        • 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 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
          • Sharing a Data Set
          • Push to VCS
          • Pull from VCS
          • 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
          • 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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On this page
  • Steps to Access Data Preparation Option
  • Consuming the Data Sets with Filter Condition in Data Preparation
  1. Data Center
  2. Data Preparation

Accessing the Data Preparation Option

PreviousData PreparationNextData Preparation Workspace

Last updated 1 year ago

The Data Preparation option can be accessed from the Data Center module. The user can access the Data Preparation option in the following ways under the Data Center module:

  1. On the Data Set List Page

  2. On the Data Sandbox List Page

Check out the given illustrations on how to access the Data Preparation option using the Data Center module.

Steps to Access Data Preparation Option

  • Navigate to the Data Center homepage.

  • Click the Data Sets or Data Sandbox option from the left side menu panel.

  • The Data Preparation icon appears under the Actions options on both the List pages.

Data Preparation icon on the Data Sets List page

Data Preparation icon on the Data Sandbox List page

  • The below-given Preparation List dialog box appears, in case if a Data Preparation exists based on the selected Data Set/ Data Sandbox.

    • Open an existing Preparation from the list by clicking on the View/Edit icon.

    • Click the Create Preparation option to create a new Preparation.

Please Note:

  • The displayed data on the Data Preparation Workspace may vary based on the selected Data Set and Data Sandbox.

  • The supported Data Connector types to access the Data Preparation functionality are MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Snowflake, ClickHouse

Consuming the Data Sets with Filter Condition in Data Preparation

  • Navigate to the Data Sets list.

  • Select a Data Set that contains filter condition.

  • Click the Data Preparation icon for it.

  • The Filter Condition dialog box appears (if the selected Data Set contains filter).

  • Provide the filter value.

  • Click the Continue option.

  • The Data Preparation Workspace opens.

The appears by clicking the Data Preparation icon from either of the pages.

Data Preparation Workspace
Accessing the Data Preparation option from the Data Sets page
Accessing the Data Preparation option from the Data Sandbox page
Data Sets and Data Sandbox options on the Data Center landing page