Genix Integrate

Genix Integrate includes Genix Edge, Contextual Fusion Hub, Cognitive Data Lake, System Twin Integrity Hub, and Knowledge Services Hub.

Edge

Genix Edge as an App Hosting Environment along with the Management Console is an integral part of ABB Ability™ Genix for on-premises as well Cloud. Following are the key features of Edge App Hosting Environment in Genix Suite 25.2:

  • Acknowledgment Support for Flow File Uploads: Users get an acknowledgment when a file transfer occurs successfully between an edge device and the cloud.

  • Genix Edge is certified for Ubuntu 24.04

  • Users can now deploy modules on Edge Kubernetes.

Contextual Fusion Hub

Contextual Fusion Hub provides the capabilities to map the source system data brought in through the Omnisource integration platform and builds the System level asset information model as the foundation for advanced analytics.

  • Plant Data Extraction: Specify the RFC name, such as CA_PLANT_MASTER, PM_EQUIP_LOCATION, and PM_EQUIP_MASTER, while also enabling the filtering by specific plant nodes. Instead of extracting all nodes by default, the system will provide a way to filter and select only relevant nodes before extraction. Following are the key benefits:

    • Efficient & Fast Retrieval: Reduces processing time with structured access.
    • Data Consistency: Ensures uniform and accurate metadata retrieval.
    • Scalable: Handles large datasets effectively.

  • Notification Mechanism for SAP Adapters: Get notification for adapter extraction status.

Knowledge Service Hub

Knowledge Services Hub (KSH) is a gateway to Industry Cognitive Model (ICM) that stores business services in the form of APIs. It is a programming interface that provides options to develop custom platform apps by the user by providing an opportunity to create custom services (APIs). Following are the key features and improvements of KSH in Genix Suite:

Aggregate data in application layer for KSH: Aggregate data within the application layer independent of database. Support cross-database operations, custom business logic, and optimize resource utilization. This capability will enhance flexibility and efficiency for data aggregation in the Knowledge Services Hub (KSH).

  • Aggregation type support: Support common aggregation types such as Sum, Average, Min, Max, Count, and Group-by.

  • In-memory aggregation processing: Enable in-memory processing for aggregations using an efficient data processing framework.

  • Error handling and notifications: Implement error handling for scenarios where in-memory processing fails due to resource limitations.

  • Cross-database aggregation support: Allow users to aggregate data retrieved from multiple database sources.

Relative parameters in queries: Use relative parameters such as:

  • Last X Days

  • Next X Days

  • Current Period

Intuitive query parameters improve the user experience.

Query Graph DB via DSL API: Enables users to interact with the Graph DB using a simplified, business-friendly syntax and ensures that the queries align are consistent. Non-technical users can extract insights without needing deep technical knowledge.

Pagination for CrateDB and SQL: The query results are displayed with pagination so that large data sets are organized and easier to interpret.

Quality Check and Frozen Tag for ADX and CrateDB:

  • Frozen Tags: Tags are frozen if values are same for a configurable number of days.

  • Quality Check: The incoming tags values are checked if they are within the predefined bounds or not.