Case Study
Water Data Infrastructure

Operational Technology Data Migration

Migrating 150 billion Aveva Historian records with zero data loss to Canary Historian.

Project Reference
eDNA #13649
Handover Date
July 2026
155.69 billion
Historical Records Migrated
19+ yrs
Historical Period
1,183 GB
Data Volume
71,493
Historical Tags Migrated
+3 billion
Deep Anomalies Fixed
7
Interface Types
“The question is no longer whether eDNA is supported; it is not. The question is whether the organisation can afford to lose access to the operational knowledge contained within it.”

Project Overview

For many industrial organisations, decades of Operational Technology (OT) data represent an irreplaceable enterprise asset. Following the official end-of-life (EOL) and support milestone for the eDNA platform on May 31, 2026, a key customer faced a critical risk profile. Any significant platform issue post-EOL would jeopardise historical data access, threatening permanent loss of operational history and prolonged outages due to limited recovery options.

Parasyn was engaged as the Operational Technology Delivery Partner to successfully execute a high-volume data migration from the legacy eDNA system to a modern repository with open architecture. The objective was to completely de-risk the enterprise while significantly enhancing its long-term data management and operational intelligence capabilities with zero data loss.

Technical Scope & Requirements

Source & Target Systems
Full extraction from eDNA and deployment into a modern target repository.
Data Scale
Migration of 155.69 billion records and 71,493 historical tags spanning 19 years.
Interface Management
Configuration and isolation across seven (7) interface types.
Infrastructure Constraints
Management of network bandwidth and CPU loads throughout the migration.
Data Integrity
100% validation across every migrated record, no exceptions.

The Parasyn Solution

Parasyn applied a structured Systems Engineering framework and developed an intelligent adaptive migration layer.

Intelligent Anomaly Detection
Analysed and flagged over three (3) billion legacy records with deep anomalies.
Hybrid Resolution Strategy
Automated scripts, live exception reporting, and stakeholder consultation.
Automated Validation
Cross-checked every migrated record against the source system.

Implementation & Cutover Methodology

To guarantee zero operational downtime and mitigate risk during the high-volume data migration, a structured implementation methodology was executed through stakeholder alignment workshops, a rigorous pilot phase to validate throughput and schemas, and a staged, multi-phase rollout monitored in real time to protect critical infrastructure networks.

  1. Stakeholder Alignment & Governance
    Workshops and change freezes established.
  2. Rigorous Pilot Phase
    Throughput testing and schema validation.
  3. Staged Multi-Phase Rollout
    Managed infrastructure constraints with real-time monitoring.

Project Outcomes & Handover

The sub-project concluded with a formal handover in July 2026, meeting the customer's key objective including cost allocations.

Technical Success
100% of 155.69B records verified and migrated with zero data loss.
Risks Mitigated
Eliminated risks associated with eDNA end-of-support.
IP Retained
Preserved two decades of operational history.
AI Ready
Established a modern data foundation for AI, ML, and advanced analytics.

Compliance Standards

Systems Engineering Data Validation Framework
Automated 100% Validation Verification
Network Boundary and Infrastructure Security Protocols

Lessons Learned, Insights & Future Recommendations

Parasyn identified several critical insights to ensure future utility data migration projects achieve a similar result:

Apply Systems Engineering
Consider data dependencies, network boundaries, and stakeholders holistically.
Isolate Interfaces
Treat each interface and network zone independently.
Validate by Default
Automate validation and avoid manual spot checks.
Always Run a Pilot
Assess throughput and refine playbooks before production cutover.