The StarThinker project will no longer receive new solution contributions from the Google team.
Please read the full StarThinker Open Source Support Ends At Google article for more details.
     
    
  
  
  
    
      
        wavesBigQuery Anonymize Dataset
        Copies tables and view from one dataset to another and anynonamizes all rows.  Used to create sample datasets for dashboards.
       
      
     
  
  
  
  
    
      
        
          Impact Level
          
            
              
                | Spend Optimization | 
                
                  
                 | 
              
              
                | Spend Growth | 
                
                  
                 | 
              
              
                | Time Savings | 
                
                  
                 | 
              
              
                | Account Health | 
                
                  
                 | 
              
              
                | Csat Improvement | 
                
                  
                 | 
              
            
          
          Value Proposition
          
            
              
                | Create anonymous data sets for demos. | 
              
              
                | Anonymize dashboard data. | 
              
            
          
          Instructions
          
            
              
                | Ensure you have user access to both datasets. | 
              
              
                | Provide the source project and dataset. | 
              
              
                | Provide the destination project and dataset. | 
              
            
          
        Details
        
          
            
              | Open Source | 
              YES
             | 
            
              | Age | 
              Feb. 27, 2019 (3 years, 10 months) | 
            
            
              | Authors | 
              kenjora@google.com
               | 
            
                
                  | Manual | 
                  Triggered on demand by user. | 
                
          
        
       
     
    
      [
    {
        "anonymize": {
            "auth": {
                "field": {
                    "name": "auth",
                    "kind": "authentication",
                    "order": 0,
                    "default": "service",
                    "description": "Credentials used."
                }
            },
            "bigquery": {
                "from": {
                    "project": {
                        "field": {
                            "name": "from_project",
                            "kind": "string",
                            "order": 1,
                            "description": "Original project to read from."
                        }
                    },
                    "dataset": {
                        "field": {
                            "name": "from_dataset",
                            "kind": "string",
                            "order": 2,
                            "description": "Original dataset to read from."
                        }
                    }
                },
                "to": {
                    "project": {
                        "field": {
                            "name": "to_project",
                            "kind": "string",
                            "order": 3,
                            "default": null,
                            "description": "Anonymous data will be writen to."
                        }
                    },
                    "dataset": {
                        "field": {
                            "name": "to_dataset",
                            "kind": "string",
                            "order": 4,
                            "description": "Anonymous data will be writen to."
                        }
                    }
                }
            }
        }
    }
]
     
   
  
  Run This Workflow In Minutes On Google Cloud
  Everything from a quick Google Cloud UI to reference developer code for your team in one GitHub repository.
  
    
      Deployment Stepslaunch
    
    
      Developer Guidebuild
    
    
      UI How Tolaptop