biGENIUS-X Knowledge Base
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Best Practices
Getting Started
Guidelines
Start Working
Connection
General Overview
Application Modules
Administration
Global Features
Solutions
Projects
Branches
Source Systems
Dataflow Modeling - Overview
Dataflow Modeling - Wizard Steps
Dataflow Modeling - Terms
Dataflow Modeling - Term Mapping
Dataflow Modeling - Relationships
Relationship Modeling
Generate Artifacts
Project Settings
Generators
Microsoft Fabric
Databricks
Snowflake
Microsoft SQL Server
Artifacts
Replace Placeholders
Target solution environment
Deployment
Load control environment
Load data with a native load control
Load data with Apache Airflow
Model Object Types
Properties
Default Terms
Discovery application
Discovery configurations
Best Practices
Modeling Approaches
Use Cases
Business Rules
FAQs
Product Release Notes
SaaS Application
Discovery Application
Generators
Legal Documents
Current legal docs
Software Product and Limits
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biGENIUS-X Knowledge Base
Best Practices
Getting Started
Guidelines
Start Working
Connection
General Overview
Application Modules
Administration
Global Features
Solutions
Projects
Branches
Source Systems
Dataflow Modeling - Overview
Dataflow Modeling - Wizard Steps
Dataflow Modeling - Terms
Dataflow Modeling - Term Mapping
Dataflow Modeling - Relationships
Relationship Modeling
Generate Artifacts
Project Settings
Generators
Microsoft Fabric
Databricks
Snowflake
Microsoft SQL Server
Artifacts
Replace Placeholders
Target solution environment
Deployment
Load control environment
Load data with a native load control
Load data with Apache Airflow
Model Object Types
Properties
Default Terms
Discovery application
Discovery configurations
Best Practices
Modeling Approaches
Use Cases
Business Rules
FAQs
Product Release Notes
SaaS Application
Discovery Application
Generators
Legal Documents
Current legal docs
Software Product and Limits
Best Practices
Follow our best practices when starting a new project
Modeling Approaches
Model a Data Store Solution
Model a Dimensional Solution
Model a Data Vault Solution
Model a Data Mart Solution
Model a Stage JDBC Solution
Model a Stage File Solution
Model a Stage OpenQuery Solution
See more
Use Cases
Use Linked Projects
Configure an incremental load
Configure a multi-version load
Configure a delete detection behavior
Test a Generator upgrade
Update a Project when the source changed
Do a delta deployment
Do a partial deployment
Take care of entries from Cleansing Error tables
Reduce the volume of the Cleansing Error tables
See more
Business Rules
Dataflows amount
Dataflow Sets amount
Dataflow Sets Aggregation Amount
Dataflow Set Model Objects amount
Relationships amount
Terms amount
Supported Term Mappings
Supported Term Data Types
Supported Historization Types
Supported Missing BK Behavior
Supported Aggregation Types
Business Key Terms amount
Business Key Terms not nullable
Identity Terms amount
Identity Terms not nullable
Supported Implementation Types
Implementation Type Dataflows amount
Implementation Type Incremental Filter
Supported Deduplication Methods
Supported Load Cachings
Relationships from Link
Relationships from PIT
Foreign Key Mapping
Historized Source
ValidFromSourceTerm exists
ValidFromSourceTerm configured
Fact Load Strategy selected
One Fact Load Strategy selected
Effective Timestamp mapped
Supported Fact Load Strategies
Fact Load Strategy Insert needs Incremental selected
Dataflows amount with multi-version load
Dataflow Sets amount with multi-version load
Deduplication with multi-version load
Aggregation with multi-version load
Supported Implementation Types for stage-driven load plans
No incremental load with a Deduplication
Not Cyclic Dataflow
Not Cyclic Relation
No delete detection with multi-version load
No delete detection source with a deleted set
Delete detection source exists
Delete detection source name is unique
Delete detection source Business Key exists
No delete detection with an incremental load in the source
Delete detection without historization set in the terms
See more