DataMiner Solutions
DataMiner solutions represent pre-configured implementations that operate on top of the DataMiner stack. Leveraging the extensive suite of DataMiner functionalities, these solutions are designed to seamlessly integrate into your system, offering the flexibility to be utilized as-is or fine-tuned to suit specific requirements.
Accessible through the DataMiner Catalog, these solutions encompass a diverse array of configured DataMiner functions, including connectors, alarm and trend templates, visual summaries, Automation scripts, dashboards, low-code apps, and user-defined APIs, among others. The composition of components varies across different solutions.
Solution apps
DataMiner Solutions can include two types of applications: those designed by Skyline to be used "as is" with minimal configuration (DataMiner applications), and sample applications provided for DevOps teams as illustrative examples (sample applications).
DataMiner applications
DataMiner applications are intended to be used as they are and will continuously evolve with releases that enhance the user experience and features. DataMiner users can obtain copies of these applications and customize them according to their requirements. However, users who choose to customize these applications will not automatically receive updates.
The icons of DataMiner applications are marked with a DataMiner icon to distinguish them from sample applications.
Sample applications
Sample applications are primarily utilized for use cases requiring extensive customization in media operations, such as customer-facing applications. As the name suggests, these applications are merely DevOps examples available in the DataMiner Catalog, and these are not intended for direct deployment in production environments.
The icons of sample applications are not marked with a DataMiner icon.
Available solutions
These are the main solutions that are currently available:
Common data model
The backbone model for your business and operation.
The DataMiner Solutions leverage shared metadata, known as the DataMiner Common Data Model (CDM), which facilitates interoperability across multiple solutions. For instance, solutions involving scheduled jobs or planned maintenance schedules utilize common data sets defining resources. Consequently, the CDM encompasses DataMiner Object Model (DOM) definitions for various entities, such as jobs, maintenance schedules, and resources, along with the relationships between them. For example, a trouble ticketing DOM object can reference the resources object model, reflecting the attachment of tickets to specific resources.
The CDM serves as the central repository for managing and organizing your business and operational metadata in the DataMiner digital twin. It provides a unified structure for capturing various aspects of your organization, including resources, personnel, transponder slot details, jobs, workflows, rate cards, media signals, assets, and more. Designed with flexibility and scalability in mind, the CDM ensures that your data management efforts remain streamlined and future-proof.
Key features:
Comprehensive data capture: The CDM captures a wide range of business and operational metadata, covering essential components such as resources, people, transponders, jobs, workflows, rate cards, services, trouble tickets, assets, and more.
Single unified model: With only one Common Data Model in existence, your organization benefits from a standardized approach to data management that continues to evolve and grow over time.
Based on DataMiner Object Models (DOM) technology: Leveraging DataMiner Object Model technology, the CDM combines data with states to provide a comprehensive understanding of your organization's dynamics.
Relationship descriptions: The CDM describes relationships between various DataMiner Object Models, unifying all data into a single model.
Backwards compatibility: Data sets (instances) within the Common Data Model are designed to be backwards compatible, ensuring smooth transitions and minimal disruptions during updates or migrations.
Extendable and customizable: Users can extend the Common Data Model by linking custom DataMiner Object Models into the CDM, tailoring the framework to their specific organizational needs and requirements
High-level overview
Updates
Continually evolving along a roadmap, the DataMiner solutions are subject to updates, ensuring compatibility with newer versions while preserving backward compatibility. Updates are facilitated by deploying updated solution packages from the DataMiner Catalog. You have full autonomy over solution implementations, so you can modify visuals, Automation scripts, and more, according to your preferences.
However, keep in mind that if you modify components of a solution, these will be overwritten when you deploy an update of the solution. Consequently, if you intend to tailor solutions to your unique context, we recommend that you create customized versions by copying (or branching) them and then applying necessary adjustments, thereby preserving the original solution for future updates.