3.1. Tools And Technologies

  • Database selection: SQL Server, Snowflake, PostgreSQL, and others.
  • ETL/ELT tools: SSIS, Azure Data Factory, Apache Airflow.
  • Data Vault automation: ready-made frameworks (e.g., dbt Vault).

3.2. Data Load Processing (ETL ELT)

  • Loading stages: Staging, Raw Vault, Business Vault.
  • Loading hubs, links, and satellites.

3.3. Data Quality Management

  • Data validation and verification mechanisms.
  • Error and anomaly management.