Frequently Asked Questions

​1.      How does the platform handle scaling and performance with complex data exchanges?

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The platform uses a custom eight-byte key strategy combining a system ID with a sequential record ID for efficient storage, indexing, and querying. The sequential assignment minimizes index fragmentation and ensures global uniqueness across systems, even in large-scale deployments. System IDs are coordinated similarly to TCP addresses, optimizing performance for real-time data exchanges while ensuring scalability.

 

2.      How does the platform ensure data security and privacy during data exchanges?

 

The platform supports secure data exchange within conglomerates via internal subnets and for global data exchange through a global server, ensuring data delivery to the intended recipients. Although advanced encryption standards are still in progress, the framework is designed to support secure transmission. By managing privacy concerns at the platform level rather than system-by-system, data security is more consistently enforced.

 

3.      How does the platform manage conflicts when multiple systems update the same data?

 

The platform uses record governance, where the system that creates a record automatically governs it. Governance can be transferred if needed, such as when an equipment is sold, or a member moves districts. This ensures that only the relevant system maintains authority over the data, preserving data integrity and resolving conflicts across systems.

 

4.      How easy is it to customize and extend the platform while maintaining core functionality?

 

Customization is straightforward. The data exchange system handles changes to columns and tables, alerting users when updates occur. All metadata is managed within the same data structures as regular data, allowing flexible imports into test environments for safe customization without breaking core functionality.

 

5.      How does the platform ensure consistency and standardization across systems?

 

A governing body oversees the core structures, ensuring consistency while allowing organizations flexibility. Straying from core structures may limit interoperability and access to platform functionality. Organizations can balance customization with the need for consistent data governance.

 

6.      What is the onboarding process for adopting the platform, especially for migrating legacy systems?

 

Onboarding involves reverse engineering existing models using Excel sheets, automated database generation, conversion procedures, and automatic constraint/view generation. The process is scalable, starting with smaller systems and expanding to more complex environments as the platform is validated.

 

7.      What is your strategy for encouraging widespread adoption?

 

The initial strategy focuses on using the PPDM model to demonstrate benefits for the oil and gas industry. Beyond that, broader rollouts aim to challenge traditional IT practices by showcasing the platform’s deep integration and seamless data exchange capabilities.

 

8.      How does the platform handle disaster recovery and fault tolerance?

 

The platform ensures data integrity through ACID-compliant databases, automated synchronization, and robust redundancy measures. Built-in data exchange tools support seamless recovery across systems, while additional custom interfaces can be developed for organizations with higher security and recovery needs.

 

9.      How is the global data exchange architecture structured, and how does it manage latency and redundancy?

 

The platform uses distributed nodes, edge caching, DNS-based load balancing, and regional synchronization for efficient global data exchanges. Redundancy is maintained through automated replication and failover strategies, ensuring high availability across different regions.

 

10.  How does the platform integrate with non-conforming systems?

 

The platform uses stub systems to bridge gaps between conforming and non-conforming systems. Once an integration is developed, it becomes reusable across multiple organizations, simplifying future integration projects and enhancing the platform’s interoperability.

 

11.  Are there real-world case studies or pilots demonstrating the platform’s effectiveness?

 

No live deployments exist yet, but the platform has been tested in a proof of concept (POC) environment with 16 fully functional enterprise systems. The POC validates the platform’s capabilities across a wide range of scenarios, preparing it for real-world adoption.

 

12.  How does the platform ensure compliance with data sovereignty laws and regulations like GDPR?

 

The platform primarily exchanges low-risk data while providing controls for more sensitive information. Data redaction, classification, and auditing features allow organizations to maintain compliance while still benefiting from global data exchanges.

 

13.  What’s your strategy for building a developer community around the open-source platform?

 

The platform will launch on an open-source repository with comprehensive documentation, contributing guidelines, and a community-driven roadmap. Developer tools, SDKs, and a plug-in marketplace will support contributions, while partnerships and early adopter programs foster collaboration.