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  • Cloud Data Fusion
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Google Cloud Documentation
  • Documentation
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    • Overview
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    • Resources
  • Console
  • Discover
  • Product overview
  • Explore the plugins
  • Get started
  • Enable or disable Cloud Data Fusion
  • Introduction to Cloud Data Fusion: Console
  • Introduction to Cloud Data Fusion: Studio
  • Introduction to Cloud Data Fusion networking
  • Authentication
  • Quickstarts
    • Create a target campaign pipeline
    • Create a private instance with Private Service Connect
    • Create a pipeline monitoring dashboard
    • Use Salesforce batch source to analyze leads data in BigQuery
  • Create
  • Create an instance
    • Create a public instance
    • Create a private instance with Private Service Connect
    • Create a private instance with VPC peering
  • Configure
  • Configure networking
    • Connect to an external network
    • Connect to a public source from a private instance
    • Control egress in a private instance
    • Resolve domain names
  • Configure plugins
    • Batch sources
      • Google services
        • BigQuery
        • Cloud Storage
        • Connect to a Cloud SQL-MySQL source from a private instance
      • SAP
        • Configure an SAP ERP system
        • SAP Ariba
        • SAP BW Open Hub Destination
        • SAP ODATA
        • SAP ODP
          • SAP ODP overview
          • Extract data through CDS views
        • SAP SLT Replication
        • SAP SuccessFactors
        • SAP Table
        • SAP Order to Cash accelerator
        • SAP Procure to Pay accelerator
      • Other applications
        • Database
        • Redshift
        • Salesforce
          • Salesforce overview
          • Create a Salesforce Connected App for Cloud Data Fusion
          • Use case: SOQL queries in the Salesforce source
          • Best practices for the Salesforce source
    • Streaming sources
      • Read from a Pub/Sub streaming source
  • Manage
  • Manage Cloud Data Fusion: Studio
    • Manage Studio administration
    • Manage pipeline design
      • Create and manage namespaces
      • Work with plugins
        • Types of plugins
        • Deploy a plugin from the Hub
        • Create and manage connections
        • Macros and macro functions
        • Create plugin templates
        • Manage multiple versions of the same plugin
        • Plugin drivers
      • Preview data
      • Create alerts
    • Data preparation with Wrangler
      • Wrangler overview
      • Wrangler workspace directives
        • Parse files
        • Format strings
        • Send records to error
        • Work with numbers
        • Work with decimal data
        • Transform dates
        • Filter data
        • Find and replace data
        • Fill null or empty cells
        • Rename, copy, delete, or keep columns
        • Join and swap two columns
        • Extract data from fields
        • Explode data from fields
        • Mask data
        • Apply a hashing algorithm
        • Encode and decode rows
      • Wrangler command-line directives
    • Manage pipeline execution
      • Deploy and run pipelines
      • Manage pipeline configurations
      • View and download pipeline logs
      • Flow control in Cloud Data Fusion
      • Manage pushdowns
        • Transformation pushdown overview
        • Push down transformations to BigQuery
    • Manage compute profiles
      • Manage compute profiles
      • Provisioners
        • Provisioners in Cloud Data Fusion
        • Dataproc provisioner properties
      • Dataproc cluster configuration