Let's see biGENIUS-X in action in this step-by-step guide with an example use case.
Scenario: The company operates a small retail chain with physical stores and offers the convenience of home delivery services, providing customers with multiple options to access their products.
Set up and next steps: The company has integrated their existing Enterprise Resource Planning (ERP) system into their data warehouse for home deliveries, and now they are focusing on extending the data warehouse to include the point of sales (POS) system from their physical stores, ensuring comprehensive data integration across their operations.
You can watch the full use case demo.
biGENIUS-X utilizes a solution-based approach to manage their projects, using containers called solutions to organize different projects, providing a structured framework for efficient management and permissions allocation. biGENIUS-X does not store any data, only the URL of the Git repository, all you need to do is connect your biGENIUS-X projects to your Git repository, ensuring data security and centralized version control for the project.
With a feature branching workflow, you can create branches for specific features or changes, allowing your data team to work on their branches without affecting the production environment, ensuring safer code development and smoother integration into the main branch.
You can use the Discovery page to analyze source system data, as well as to identify and integrate various data sources into biGENIUS-X, providing a comprehensive overview of the data flow within the system.
The Modeling area serves as a workbench for data engineers, allowing you to create and manage views that organize and manipulate data objects, providing a clear distinction between domain-specific elements and facilitating better project organization.
Using automation steps and wizards, biGENIUS-X enables you to create model objects, such as stage objects and link satellites, based on existing source model objects, streamlining the development process and reducing manual effort.
The Relationship page allows you to establish relationships between different model objects, facilitating data flow and connectivity between entities, ensuring data integrity and enabling comprehensive data analysis.
biGENIUS-X provides default columns and naming conventions for traceability, including load date and source system information, ensuring consistency and facilitating understanding across the project.
Data flow sets provide an additional mechanism to include or exclude data within the data flow, allowing you to define sets based on operators like Union, enabling flexible data manipulation and enhancing the functionality of the data warehouse.
Following a Data Vault approach, you can use the modeling area to create a data mart, referred to as the Gold Layer, where you can generate artifacts and deploy them to the production environment, ensuring a structured and scalable data architecture.
Accelerate and automate your analytical data workflow with comprehensive features that biGENIUS-X has to offer.