Semantic Control Plane

The Architecture: Migration Mapping Created With Semantic Control Plane   

Core insight:  ArcXA's migration mapping layer bridges  semantic understanding lacking gap with: Informatica, Fivetran, Altran, and Collibra which are execution engines and passive catalogs. They know what happens (jobs run, data moves, tables get created) but they don't know why or what happens next. They

1. Extracting lineage from ETL metadata into a unified semantic model
2. Converting that lineage into SPO triples that encode both data flow AND semantic meaning
3. Inferring missing relationships via KGNN (knowledge graph neural networks)
4. Enabling bidirectional governance — policies defined in the control plane automatically propagate back to ETL tools

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Layer-by-Layer Integration

Layer 1: Physical ETL & Execution Planes

Each platform exposes metadata differently:

• Informatica: PowerCenter repositories (Java-based, XML DAGs, mapping metadata via REST API). ArcXA connects to the repository to extract source→target column mappings, transformation logic, session configs.
• Fivetran: JSON connectors config + state metadata. Lightweight; ArcXA reads connector definitions to reverse-engineer pipeline DAGs.
• Altran: ETL engine logs + DAG definitions (typically XML or proprietary format). Requires parser-per-dialect.
• Collibra: Already a catalog—but a passive one. Stores business glossary terms, ownership, lineage declarations (often manual), classifications. Doesn't enforce them.

The problem: Each tool has its own schema, its own lineage model, its own classification taxonomy. No unified view. Cross-tool impact analysis (e.g., "if we retire this Oracle table, what Informatica jobs break?") requires manual detective work.

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Layer 2: Migration Mapping & Lineage Extraction (ArcXA's Core)

This is where semantic translation happens. ArcXA reads each platform's metadata and converts it into normalized SPO triples:

Example 1: Informatica column mapping

Concrete ETL Tool Integration Patterns

Informatica → ArcXA:

• ArcXA connects to PowerCenter repository via SOAP/REST
• Extracts: mappings, transformations, session configs, source→target metadata
• Converts each mapping to SPO: (informatica_object_id, has_property, value)
• Collects transformation logic: (source_col, transformed_by, expression_id)
• Tracks: what gets deployed where (Informatica workflow version control)
• Bidirectional: when policy changes (e.g., new masking rule), ArcXA can auto-update mappings and redeploy

Fivetran → ArcXA:

• Fivetran API exposes connector definitions (JSON config)
• ArcXA parses: source connector type, target warehouse, column selection, transformation rules
• Triples: (fivetran_connector_id, ingests, source.table), (fivetran_connector_id, lands_to, target.schema.table)
• Adds inferred triples: sync frequency → SLA, connector health → data freshness risk
• Lightweight: Fivetran is config-driven, minimal lineage to extract

Collibra → ArcXA:

• Collibra is already a metadata hub—but underutilized for ETL
• ArcXA reads Collibra's glossary terms, classifications, custom attributes
• Problem: Collibra lineage is often manual or incomplete. ArcXA enriches it.
• ArcXA triples reference Collibra asset IDs: (collibra_asset_123, classified_as, ???)
• Bidirectional: ArcXA writes enriched classifications, lineage back to Collibra via API

Altran → ArcXA:

• Altran (Alteryx, or similar ETL engine) exposes workflows as JSON/XML DAGs
• ArcXA parses: input tools, transformations, output tools
• Triples: tool sequence, data flow, formula complexity
• Challenge: Altran transformations are opaque (visual designer). ArcXA uses heuristics: table join → infers key relationships, formula parsing for column mappings

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Why This Creates a "Control Plane"

Passive catalog (Collibra):

• "Here's what exists and who owns it"
• Change impacts are discovered after the fact
• Policies are aspirational (documented but not enforced)

Active control plane (ArcXA + SPO):

• "Here's what exists, who depends on it, and what happens if you touch it"
• Change impacts are predicted before deployment
• Policies are enforced by the system (gates deployments, auto-updates downstream)
• Bidirectional: governance → execution (policies auto-propagate to Informatica, Fivetran, Altran jobs)

The triple store is the semantic glue. It connects:

• Execution (what Informatica/Fivetran actually do)
• Governance (what Collibra declares)
• Intent (what policies say should happen)
• Reality (lineage, data quality, freshness)

All queryable, all inferrable, all actionable in real time.

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The Migration Mapping Angle

For legacy migration (Oracle → IBM Power-native, DB2 → Snowflake), this becomes critical:

Migration wave: 100 tables, 50 Informatica mappings, 12 Fivetran connectors

Phase 1: ArcXA migration mapping extracts full lineage from current state
  → Builds triple store of all dependencies, data lineages, classifications

Phase 2: Plan cutover
  → What if we retire these 15 Oracle tables?
  → Which Informatica mappings touch them? (query triple store in 100ms)
  → Which Fivetran connectors? (1.2s query with impact chain)
  → What Collibra assets depend downstream? (full graph traversal)
  → What compliance rules? (policy engine checks all inherited classifications)

Phase 3: Execute migration
  → Informatica jobs auto-updated to read from new targets (policy engine writes new configs)
  → Fivetran connectors reconfigured to new source endpoints
  → Data quality gates enforced on new targets
  → Collibra updated with new lineage, automatically

Phase 4: Post-migration validation
  → Triple store shows: old vs new lineage side-by-side
  → KGNN compares: are the semantics equivalent?
  → Reports: "100% of column mappings preserved, 3 quality rules need tuning"

Semantic Control Plane (SCP)

 

Arcxa Semantic Control Plane (SCP) : Marketing Plan

Positioning & Messaging Brief — "Assistance" angle for Collibra, Informatica, Fivetran & ETL-tool users

Prepared for: Arcxa / Equitus GTM
Date: August 23, 2026
Core constraint: SCP is positioned as an assistive intelligence layer that makes existing data-catalog and ETL/ELT investments more valuable — never as a rip-and-replace competitor.

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1. Category & One-Line Positioning

Category: Semantic Control Plane (SCP) — a dynamic intelligence mesh for the data estate.

One-line positioning:

Arcxa SCP is the semantic intelligence layer that sits above your catalogs, pipelines, lineage, and governance tools — observing and relating metadata, schemas, policies, entities, transformations, controls, and business outcomes so your existing stack works smarter, together.

Category-creation hook (for analysts / RFPs):

semantic connective tissue

"You have a data catalog. You have pipelines. You have governance. What you're missing is the  that tells you how all of it relates, what breaks when something changes, and what it means for the business. That's the Semantic Control Plane."

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2. "Arcxa Assists your Migration Tools" 

Arcxa SCP compliments tools and is non-threatening to Collibra/Informatica/Fivetran buyers:

"Keep your tools. Add a semantic intelligence mesh that lets them work together."

SCP does not compete with the catalog, the ETL engine, or the ELT connector. It enriches, relates, and reasons over what those tools already produce — turning scattered metadata into a living, queryable knowledge graph (KGNN) that any of them can call on.

Arcxa "works with" · "connects to" · "enriches" · "orchestrates context across" · "sits alongside" · "does not replace"

SCP is*: an assistive reasoning layer (Triple Store + KGNN) that ingests and links metadata, schemas, lineage, policies, business glossaries, and logs from your existing catalog, ETL/ELT tools, and governance repositories — then outputs semantic mappings, impact scores, stewardship recommendations, migration sequencing, and control evidence back into your teams' workflows.

SCP is not*: a replacement catalog, a pipeline engine, or a connector library. It is the brain that sits over them.

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3. Why This Sells to Catalog/ETL Buyers (The Gap)

What they have	What's missing (the SCP wedge)
A catalog of assets (Collibra)	Understanding of relationships, dependencies, and business meaning across assets
Pipelines that move data (Informatica, Fivetran)	Awareness of what breaks downstream when a schema, source, or transformation changes
Lineage diagrams	Impact analysis and risk reasoning that anticipates breakage before it happens
Governance policies	A layer that maps policies to controls to entities to outcomes automatically
Tribal knowledge in stewards' heads	A semantic fabric that captures, infers, and persists that knowledge

"Your catalog tells you what you have. Your pipelines tell you how data moves. SCP tells you what it all means, what depends on what, and what breaks when you change something."

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4. Arcxa Audience

4.1 For Collibra users — "Governance that understands meaning"

Pain: Catalog is rich but static; stewardship depends on tribal knowledge; policy-to-control mapping is manual; business glossary drifts from reality.

SCP assistance message:

"Turn your Collibra catalog into a living knowledge graph. SCP ingests Collibra assets, glossaries, and lineage and relates them to schemas, policies, controls, and business outcomes — giving stewards dynamic dependency intelligence, control-mapping recommendations, and change-impact foresight before a change ships."

Assistant offer: Governance Co-Pilot — recommends stewardship actions, flags orphaned/ambiguous terms, maps policies to controls, surfaces hidden dependencies across the catalog.

4.2 For Informatica users — "Modernization & MDM with semantic reconciliation"

Pain: Sprawling metadata/MDM estates across on-prem and cloud; modernization (IICS, cloud data management) is slow and risky; semantic reconciliation across systems is manual.

SCP assistance message:

"SCP adds a KG-driven dependency and modernization layer over your Informatica estate — mapping golden records, transformations, and target schemas semantically so migration, MDM rationalization, and cloud modernization are planned, sequenced, and de-risked. It reads what Informatica already knows and reasons over it."

Assistant offer: Modernization / Reconciliation Co-Pilot — dependency-aware migration sequencing, entity-reconciliation across MDM hubs, semantic mapping of source-to-target, modernization risk scoring.

4.3 For Fivetran / ELT users — "Pipeline intelligence before and after the connector"

Pain: Connectors move data fast, but schema drift, breaking changes, and target-mapping errors are discovered after pipelines break; lineage is shallow; transformation risk is invisible.

SCP assistance message:

"SCP wraps Fivetran pipelines with pre- and post-pipeline intelligence — detecting schema drift impact, inferring target mappings, ranking transformation risk, and surfacing lineage that ELT tools alone don't capture. Catch the break before the pipeline does."

Assistant offer: Pipeline / Lineage Co-Pilot — schema-drift impact analysis, target-mapping inference, transformation-risk scoring, lineage inference, data-quality triage.

4.4 General data-platform / ETL teams

"Reduce migration risk, speed data-product delivery, and stop relying on the three people who know how the legacy pipeline works. SCP captures that knowledge as a semantic graph."

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5. The "Co-Pilot" Assistance Catalog (SKU-able offers)

Package SCP as discrete assistants — each maps to a tool-buyer's daily pain and is sold as augmentation, not replacement:

Assistant	Sits over	What it does	Buyer
Migration Co-Pilot	Informatica, legacy ETL, Collibra lineage	Semantic source-to-target mapping, sequencing, de-risking	SI Practice Leads, Migration PMs
Governance Co-Pilot	Collibra	Policy-to-control mapping, steward recommendations, dependency intelligence	Data Governors, Stewards
Lineage & Impact Assistant	Fivetran, Informatica, dbt	Change-impact analysis, breakage foresight, inferred lineage	Data Engineers, Platform Leads
Schema / Semantic Mapping Assistant	Any ETL/ELT	Source-target semantic mapping, entity reconciliation, schema-drift detection	Data Architects
Data-Quality Triage Assistant	Pipelines + catalog	Root-causes DQ issues across lineage + entity relationships	Data Quality / Analytics Eng
Compliance & Control Assistant	Collibra policies, governance	Maps controls to entities to outcomes; evidence lineage for audits	Risk, Compliance, Audit

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6. Benefits (outcome language — use as proof-point placeholders)

Avoid invented percentages. Lead with directional, verifiable outcomes:

• Faster onboarding of complex estates (less manual discovery)

• Less reliance on tribal knowledge — captured as a persistent semantic graph

• Fewer broken pipelines — change-impact detected before deployment

• Stronger change-impact and lineage analysis across tools that don't natively share it

• Governance that understands business meaning, not just asset names

• An AI-ready metadata fabric — the graph other AI initiatives can reason over

  When you have customer-validated metrics, slot them in as "Sourced." Until then, keep directional phrasing ("shorten discovery cycles," "surface hidden dependencies," "reduce mapping effort").

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7. Go-to-Market Narrative

The arcxa story (3-beat narrative):

1. The problem: "Your data estate is more connected than your tools admit. Catalogs, pipelines, and governance each see a slice — none sees the whole. So changes break things you didn't know were related, and knowledge walks out the door when people leave."

2. The shift: "A Semantic Control Plane sits above your existing tools and weaves their metadata, schemas, policies, and lineage into one living knowledge graph — a KGNN that reasons about relationships, dependencies, and meaning in real time."

3. The proof: "Keep Collibra, keep Informatica, keep Fivetran. SCP connects to them, enriches them, and gives your teams assistants that see the whole picture. Faster modernization, fewer broken pipelines, governance with meaning — all on the stack you already own."

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8. Sample Copy

Landing-page headline

Your data tools are smart. Together, they're blind.
arcxa Semantic Control Plane adds the intelligence layer that connects your catalog, pipelines, and governance — so change never breaks what you can't see.

Subhead

Keep Collibra. Keep Informatica. Keep Fivetran. Add a semantic mesh that relates everything they know — and tells you what breaks before it does.

Elevator pitch (spoken)

"arcxa SCP is a semantic control plane powered by Equitus and a knowledge-graph neural network. It sits above your existing data catalog and ETL tools, reads the metadata they already produce, and builds a live graph of how every schema, pipeline, policy, and entity relates. The result is a set of assistants — for migration, governance, lineage, and compliance — that see dependencies your individual tools can't. You don't replace anything; you make all of it smarter."

Campaign slogans (pick by audience)

• "Keep your stack. Add the brain."

• "The catalog knows what. The pipeline knows how. SCP knows what it means."

• "See the dependencies your tools can't."

• "Modernization without surprises."

• "Governance that finally understands the business."

Battlecard bullets (vs. "do nothing / manual" and vs. single-tool expansion)

• Vs. manual stewardship: "Captures tribal knowledge as a persistent semantic graph instead of in people's heads."

• Vs. expanding Collibra/Informatica modules: "Doesn't require replacing or over-licensing your catalog — adds the relationship intelligence layer the catalog isn't built to be."

• Vs. Fivetran-native lineage: "Reasons over schema drift and transformation risk ELT tools surface only after the fact."

• Integration-first: "Connects to — not competes with — your existing catalog, ETL/ELT, and governance stack."

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9. Target Personas & Buying Motions

Persona	Primary pain SCP removes	Motion
CDO / Head of Data	"I can't answer what depends on what"	Strategic — semantic fabric for the estate
Data Governance Lead	Policy-to-control mapping is manual & stale	Governance Co-Pilot
Data Platform / Engineering Lead	Pipelines break on change; lineage is shallow	Lineage & Impact Assistant
SI Practice / Migration Lead	Modernization is slow, risky, tribal	Migration Co-Pilot
Compliance / Audit	Can't trace controls → entities → outcomes	Compliance & Control Assistant

Land-and-expand path: Start with one assistant (e.g., Migration or Lineage Co-Pilot) over an existing tool → prove value → expand to the full semantic mesh across catalog, pipelines, and governance.

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10. How to Take This to Market (next steps)

1. Name the assistants as productized SKUs (the "Co-Pilot catalog" above) — each maps to a buyer and a tool.

2. Build a "Keep your tools" demo — live SCP reading a Collibra catalog + a Fivetran pipeline and surfacing a hidden dependency / breakage that neither tool alone shows. This is the hero asset.

3. Partner positioning — frame SCP as complementary to (not competitive with) Collibra/Informatica/Fivetran; pursue co-marketing and "works with" certification-style messaging.

4. Proof points — capture 2–3 customer migration/governance outcomes and convert directional benefits to "Sourced" metrics.

5. Analyst narrative — seed the "Semantic Control Plane" as a category with Forrester/Gartner, distinct from "data catalog" and "data lineage."

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Note: directional benefit claims above are intentionally non-numeric until customer-validated metrics exist. Replace with sourced figures before external publication.