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    ArchitectureOverview
    • Scenarios, capabilities, and boundaries
    • Components and data flow
    • Design identity, quality, and authority
    • Integrate sources and consumers
    • Consistency and recovery
    • Aurelia configuration example
    • Review a Golden solution design
    ConceptOverview
    • Records and their representation
    • Metadata: information about a record
    • Validation and error policies
    • Data quality in Golden
    • Audit, history, and record changes
    • Why duplicate records are difficult
    • Compare records and group candidates
    • Resolve groups and subsets
    • Data estates and application estates
    • Artifacts, assets, and regions
    • Projects and analysis scope
    • Analysis evidence and limitations
    • Interpret analysis indicators
    • Fundamental concepts
    • Spatial model
    • Occupancy — PMSOverview
      • ReviewsOverview
        How-ToOverview
        • Access and navigate Golden
        • Find and maintain records
        • Investigate data quality
        • Review and resolve duplicates
        • Inspect changes and mastered records
        • Golden API examples
        • Search records through the API
        • Query table data through the API
        • Read golden records through the API
        • Automate duplicate decisions
        • Implement Golden integration patterns
        • API reference and client tools
        • Prepare and create an entity
        • Connect sources and load data
        • Configure validation and quality
        • Configure search and resolution
        • Configure and verify deliveries
        • Schedule and follow executions
        • Recover tasks and deliveries
        • Maintain entities and promote configuration
        • Administer Golden in the web application
        • Authenticate with Golden
        • Manage users
        • Access tokens
        • Audit controls and responsibilities
        • Prepare source inputs
        • Review project setup
        • SAS
        • Qlik
        • Informatica PowerCenter
        • SAP BW extraction agent
        • Teradata
        • DataStage
        • COBOL
        • webMethods
        • L0 briefing
        • L1 landscape
        • L2 asset detail
        • Setup and agents
        • Manage collection
        • Prepare the site
        • Investigate and compare
        OverviewOverview
        • Trazadera documentation
        • Golden in five minutesOverview
          • Fundamental conceptsOverview
            • Records and their representation
            • Metadata: information about a record
            • Validation and error policies
            • Data quality in Golden
            • Audit, history, and record changes
            • Why duplicate records are difficult
            • Compare records and group candidates
            • Resolve groups and subsets
          • Aurelia Utilities tutorialOverview
            • Install Aurelia Utilities
            • Follow the Aurelia customer data
            • Explore Aurelia sales leads
            • Read quality in Aurelia
            • Search the Aurelia records
            • Review duplicates in Aurelia
            • Read the result and reset Aurelia
          • Functional guideOverview
            • Access and navigate Golden
            • Find and maintain records
            • Investigate data quality
            • Review and resolve duplicates
            • Inspect changes and mastered records
          • Architect guideOverview
            • Scenarios, capabilities, and boundaries
            • Components and data flow
            • Design identity, quality, and authority
            • Integrate sources and consumers
            • Consistency and recovery
            • Aurelia configuration example
            • Review a Golden solution design
          • Developer guideOverview
            • Make your first Golden API calls
            • Golden API conventions
            • Golden API examples
            • Search records through the API
            • Query table data through the API
            • Read golden records through the API
            • Automate duplicate decisions
            • Implement Golden integration patterns
            • API reference and client tools
            • Build a customer search integration
          • Operations guideOverview
            • Prepare and create an entity
            • Connect sources and load data
            • Configure validation and quality
            • Configure search and resolution
            • Configure and verify deliveries
            • Schedule and follow executions
            • Recover tasks and deliveries
            • Maintain entities and promote configuration
            • Monitor state and data quality
            • Administer Golden in the web application
          • SecurityOverview
            • Authenticate with Golden
            • Roles and data access
            • Manage users
            • Access tokens
            • Audit controls and responsibilities
          • Data referenceOverview
            • Entities and synchronization
            • Tables
            • Record metadata
            • Quality metrics
            • Tasks and schedules
          • Configuration referenceOverview
            • Datasets
            • Semantic tokens
            • Data views
            • Sources
            • Transformations
            • Pipelines
            • Destinations
            • Connection credentials
            • Indexer
            • Classifier
            • Merger
            • Automatic steward
          • API referenceOverview
            • Authentication
            • Users
            • Access tokens
            • Configuration
            • Entities
            • Golden records
            • Tables
            • Resources
            • Tasks
            • Files
            • Product events
            • Metrics
            • Data scopes
            • Sample projects
            • Schemas
          • SupportOverview
            • Troubleshooting
            • Service and compatibility
          • GlossaryOverview
          • Fundamental conceptsOverview
            • Records and their representation
            • Metadata: information about a record
            • Validation and error policies
            • Data quality in Golden
            • Audit, history, and record changes
            • Why duplicate records are difficult
            • Compare records and group candidates
            • Resolve groups and subsets
          • Aurelia Utilities tutorialOverview
            • Install Aurelia Utilities
            • Follow the Aurelia customer data
            • Explore Aurelia sales leads
            • Read quality in Aurelia
            • Search the Aurelia records
            • Review duplicates in Aurelia
            • Read the result and reset Aurelia
          • Functional guideOverview
            • Access and navigate Golden
            • Find and maintain records
            • Investigate data quality
            • Review and resolve duplicates
            • Inspect changes and mastered records
          • Architect guideOverview
            • Scenarios, capabilities, and boundaries
            • Components and data flow
            • Design identity, quality, and authority
            • Integrate sources and consumers
            • Consistency and recovery
            • Aurelia configuration example
            • Review a Golden solution design
          • Developer guideOverview
            • Make your first Golden API calls
            • Golden API conventions
            • Golden API examples
            • Search records through the API
            • Query table data through the API
            • Read golden records through the API
            • Automate duplicate decisions
            • Implement Golden integration patterns
            • API reference and client tools
            • Build a customer search integration
          • Operations guideOverview
            • Prepare and create an entity
            • Connect sources and load data
            • Configure validation and quality
            • Configure search and resolution
            • Configure and verify deliveries
            • Schedule and follow executions
            • Recover tasks and deliveries
            • Maintain entities and promote configuration
            • Monitor state and data quality
            • Administer Golden in the web application
          • Monitor state and data quality
          • SecurityOverview
            • Authenticate with Golden
            • Roles and data access
            • Manage users
            • Access tokens
            • Audit controls and responsibilities
          • Data referenceOverview
            • Entities and synchronization
            • Tables
            • Record metadata
            • Quality metrics
            • Tasks and schedules
          • Configuration referenceOverview
            • Datasets
            • Semantic tokens
            • Data views
            • Sources
            • Transformations
            • Pipelines
            • Destinations
            • Connection credentials
            • Indexer
            • Classifier
            • Merger
            • Automatic steward
          • API referenceOverview
            • Authentication
            • Users
            • Access tokens
            • Configuration
            • Entities
            • Golden records
            • Tables
            • Resources
            • Tasks
            • Files
            • Product events
            • Metrics
            • Data scopes
            • Sample projects
            • Schemas
          • SupportOverview
            • Troubleshooting
            • Service and compatibility
          • modernAIze in five minutesOverview
            • Fundamental conceptsOverview
              • Data estates and application estates
              • Artifacts, assets, and regions
              • Projects and analysis scope
              • Analysis evidence and limitations
            • Setup guideOverview
              • Prepare source inputs
              • Review project setup
            • Supported source platformsOverview
              • SAS
              • Qlik
              • Informatica PowerCenter
              • SAP BW
              • SAP BW extraction agent
              • Teradata
              • DataStage
              • COBOL
              • webMethods
            • Understand guideOverview
              • L0 briefing
              • L1 landscape
              • L2 asset detail
              • L2 spotlights
              • Interpret analysis indicators
          • Fundamental conceptsOverview
            • Data estates and application estates
            • Artifacts, assets, and regions
            • Projects and analysis scope
            • Analysis evidence and limitations
          • Setup guideOverview
            • Prepare source inputs
            • Review project setup
          • Supported source platformsOverview
            • SAS
            • Qlik
            • Informatica PowerCenter
            • SAP BW
            • SAP BW extraction agent
            • Teradata
            • DataStage
            • COBOL
            • webMethods
          • SAP BW
          • Understand guideOverview
            • L0 briefing
            • L1 landscape
            • L2 asset detail
            • L2 spotlights
            • Interpret analysis indicators
          • Lens in five minutesOverview
            • Fundamental concepts
            • Setup and agents
            • Manage collection
            • OverviewOverview
              • Prepare the site
              • Spatial model
              • Collect and verify
              • Report and indicators
              • Investigate and compare
            • OverviewOverview
              • Occupancy — PMSOverview
                • ReviewsOverview
              • OverviewOverview
                • Prepare the site
                • Spatial model
                • Collect and verify
                • Report and indicators
                • Investigate and compare
              • Collect and verify
              • Report and indicators
              • OverviewOverview
                • Occupancy — PMSOverview
                  • ReviewsOverview
                  PolicyOverview
                  • Service and compatibility
                  QuickstartOverview
                  • Install Aurelia Utilities
                  • Make your first Golden API calls
                  ReferenceOverview
                  • Golden API conventions
                  • Roles and data access
                  • Entities and synchronization
                  • Tables
                  • Record metadata
                  • Quality metrics
                  • Tasks and schedules
                  • Datasets
                  • Semantic tokens
                  • Data views
                  • Sources
                  • Transformations
                  • Pipelines
                  • Destinations
                  • Connection credentials
                  • Indexer
                  • Classifier
                  • Merger
                  • Automatic steward
                  • GlossaryOverview
                    • L2 spotlights
                    TroubleshootingOverview
                    • Troubleshooting
                    TutorialOverview
                    • Follow the Aurelia customer data
                    • Explore Aurelia sales leads
                    • Read quality in Aurelia
                    • Search the Aurelia records
                    • Review duplicates in Aurelia
                    • Read the result and reset Aurelia
                    • Build a customer search integration
                    On this page

                    Quickstart

                    quickstart Install Aurelia Utilities Prepare a learning environment, install the sample, and verify that its initial task completes. Read guide → quickstart Make your first Golden API calls Verify a Golden API connection, list available entities, and perform a safe record search in about five minutes. Read guide →
                    NextInstall Aurelia Utilities
                    On this page
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