ArcXA: Architectural Breakdown & System Integration

Equitus - ArcXA: Architectural Breakdown & System Integration

Equitus ArcXA functions as a non-intrusive Semantic Control Plane (SCP) and mapping intelligence layer. It does not replace existing data infrastructure; instead, it sits directly above the data stack to decouple field transformation, semantic classification, and lineage auditing from raw data pipeline code.

ArcXA is designed for Mid-tier Enterprises and System Integrators (SIs),  addresses major migration pain points: undocumented pipeline code, manual mapping re-work, and audit failures due to opaque transformation logic.

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1. Architectural Components & Interaction Model

ArcXA employs a modular runtime architecture written in high-performance Rust, allowing scaling by concern (separating control, data, and inference operations):

1. arcxa-coordinator (Control Plane): The core engine running authenticated REST endpoints (/api/v1/lineage, /api/v1/ontology, /api/v1/mapping). Control Plane manages connector registrations, orchestrates workflow schedules, handles schema discovery, and publishes execution states.

2. arcxa-shard (Graph Data Plane): A distributed RDF/SPARQL data plane storing physical-to-logical mappings, system-of-systems dependency graphs, and temporal lineage. It transforms flat schemas into interconnected Knowledge Graphs without duplicating underlying data payloads.

3. arcxa-model-service (Semantic Matching Engine): A hybrid AI inference worker combining statistical pattern matching (60%) with semantic LLM/graph reasoning (40%). It automatically infers that disparate column headers across systems mean the exact same business concept.

4. Cryptographic Audit Chain: Generates tamper-evident hash histories of every mapping decision, schema change, and transformation rule for HIPAA, SOX, and compliance attestation.

2. End-to-End Integration Flow Across Ecosystem

ArcXA acts as an orchestration and intelligence umbrella that connects ingestion utilities, automated ETL pipelines, and enterprise governance platforms during a complex SQL or cloud database migration:

3. Detailed Component Integration Strategy

Ingestion & Data Onboarding Layer

Tools: Flatfile, Ingestro, Dromo, Osmos

Role in Migration: Handling messy, ad-hoc, multi-tenant file imports (CSVs, Excel extracts, B2B payloads) from non-technical users.

How ArcXA Connects: Pre-Landing Semantic Normalization: When users upload files via Flatfile or Osmos, ArcXA inspects staging schemas using native connectors and arcxa-model-service.

Automatic Concept Mapping: Instead of writing bespoke validation scripts in Dromo or Ingestro, ArcXA maps dynamic file fields (e.g., cust_no, Client_ID, acc_identifier) to a unified, reusable business concept (Domain.Customer.ID).

Ingress Lineage: ArcXA tags incoming payloads with cryptographic provenance, recording origin metadata before data enters the core ETL pipeline.

Pipeline & ETL Execution Layer

Tools: Fivetran, Informatica (IDMC / PowerCenter)

Role in Migration: Bulk data replication, schema migration, and complex transformations across enterprise data warehouses.

How ArcXA Connects:

Decoupled Mapping Logic: 

Fivetran and Informatica execute raw data movements, but ArcXA maintains the mapping ontology. Changes to transformation rules are managed inside ArcXA’s central control plane rather than scattered across ETL repositories or SQL notebooks. Rule-Level Transformation Traceability: 

When Fivetran replicates a table or Informatica runs a complex join, ArcXA logs execution states down to the field-and-value level. If reconciliation fails during post-migration verification, engineers use the ArcXA CLI to trace anomalies in seconds:

Enterprise Governance & Cataloging Layer -

Tools: Collibra, C Cube 

Role in Migration: 

• Business glossaries, 
• regulatory compliance, 
• data dictionary management, 
• physical database modeling.

How ArcXA Connects:

Automated Lineage Synchronization: ArcXA pushes detailed field lineage and transformation hashes via /api/v1/lineage and /api/v1/governance directly into Collibra. This eliminates the need to manually update Collibra catalogs post-migration.

• Physical-to-Logical Schema Bridge: ArcXA connects C Cube’s structural DDL models to Collibra’s enterprise business definitions using standard R2RML and SHACL specifications.
• Portable Enterprise Knowledge: When a migration project concludes, the mappings created in ArcXA remain preserved in the arcxa-shard ontology. System integrators can reuse the exact same governed mappings for future migrations, preventing rework across client engagements.

Summary Value for System Integrators & Mid-Tier Enterprises

Feature / Capability	Legacy Migration Approach	ArcXA-Enabled Architecture
Field Mapping	Manual spreadsheet annotations; hardcoded SQL notebooks.	Hybrid AI Semantic Matching: Automated profiling across Flatfile/Osmos/Informatica schemas.
Discrepancy Debugging	Hours in "war rooms" parsing multi-layered pipeline logs.	Rule-Level Lineage Tracing: Instant CLI trace revealing the specific null value or failing rule.
Audit Compliance	Manual screenshot evidence and static documentation.	Cryptographic Audit Chain: Built-in tamper-evident lineage logs synced to Collibra.
Knowledge Retention	Mappings lost in project-specific repositories.	Reusable Graph Ontologies: Portable mapping definitions carried forward across projects.