3
 min read

Operational Data Store (ODS) in biGENIUS-X

Learn how biGENIUS-X's Operational Data Store bridges source systems and analytical models while preserving historical data and enabling efficient Data Vault implementations.

Table of contents

    Posted on:
    March 26, 2025

    Operational data store (ODS) in biGENIUS-X

    With the biGENIUS-X Data Store Generators, users can build an operational data store (ODS) that bridges source systems and analytical models by preserving both current and historical operational data in its original granular form. It maintains a unified view of operational data while enabling column-level historization and flexible transformations, providing a reliable foundation for downstream models – particularly Data Vault implementations.

    Key enterprise applications

    Data Vault integration: Enables reliable loading, complete reloads for hash key recalculation, and model recreation from historical states

    Specialized analytics: Supports ad-hoc queries requiring granular data and historical attribute visibility, enabling direct reporting when standard reports from downstream models lack necessary detail

    Comprehensive archiving: Maintains complete historical records for traceability and operational state reconstruction

    Data governance: Preserves data lineage from source to consumption and original data characteristics

    Source data consolidation: Compiles data from different source systems in one place

    The biGENIUS-X Data Store Generators

    biGENIUS-X leverages native capabilities specific to each environment. For Spark implementations, this includes Spark specific Partitioning and Liquid Clustering.

    The biGENIUS-X Data Store Generators extend beyond basic data store capabilities with several integrated features:

    Multi-source integration

    Organizes data by topics with automated metadata management that preserves data lineage.

    Transformation framework

    Uses a proprietary composite architecture for reusable transformation patterns. Data store composites sit in front of the main objects, enabling pre-processing tasks like aggregations and filtering while maintaining logical separation.

    Configurable historization

    Implements a differentiated approach (SCD0, SCD1, SCD2) that enables attribute-specific strategies through simple configuration.

    Delete detection

    Automatically identifies and flags deleted records without requiring custom CDC implementations.

    Advanced loading

    Captures multiple intra-day changes with built-in incremental and multi-version loading capabilities.

    Deduplication of data

    Pre-built and ready-to-use data deduplication methods available.

    Reuse projects via Data Marketplace

    Publish ODS projects in data marketplace for reusability in downstream projects.

    Your competitive advantage with biGENIUS-X

    Having an Operational Data Store in biGENIUS-X offers several key differentiators:

    • Complete integration chain provides end-to-end capabilities from source connectivity through operational storage to model generation.  
    • Purpose-built interfaces for historization and transformation management eliminate the custom coding required by conventional tools.  
    • Capability to pull data from a variety of source technologies.
    • The unified metadata approach ensures consistent entity handling with automated impact analysis and change propagation
    • No vendor lock-in design allows for technology-independence from target platforms.

    These advantages translate into immediate technical benefits while supporting long-term scalability. By utilizing the biGENIUS-X GUI, automation functionalities, and powerful generators can help to significantly reduce development effort while enhancing data reliability. For organizations facing growing data volumes and complex integration requirements, it offers a proven path to sustainable data management that evolves alongside business needs.

    Contributor
    Marc Gschwind
    Senior Data Automation Consultant

    More than 12 years of experience in data warehousing and engineering, designing scalable data solutions. Specializes in biGENIUS-X data automation for Spark and Snowflake target platforms.

    Future-proof your data with biGENIUS-X today.

    Accelerate and automate your analytical data workflow with comprehensive features that biGENIUS-X offers.