Generators Release - 2.2.0 (documentation in progress)

General features

• Added partition support to Oracle generators
• Added deployment and execution scripts for Oracle generators
• Added data classification for Snowflake and Databricks generators
• Added support for mapping validity (BG_ValidFromTimestamp) to use existing validity timestamp from source instead of current timestamp 
• Added option to persist validity (BG_ValidToTimestamp) in tables for all historized model objects
• Added option to deploy without result view
• Binary data type is now default for hash columns in Spark generators
• Added option for user managed incremental load
• Added additional validation checks
• Several backend improvements
• Bug fixes and optimizations

Data Store

• Delete detection with Partial Sets in Data Store Entities

Data Vault

• New model object type Vault Out
• Added options for creating Embryos

Data Mart

• New model object type Mart Out 

New Generators

• Added Dbt for Databricks generator (Data Vault & Data Mart methodologies)
• Added Dimensional generator for Fabric Warehouse