Arcxa architectural sql mapping

Arcxa architectural mapping outlines a highly optimized, modernized data platform designed to break down legacy data silos, reduce licensing costs, and run edge AI workloads without relying on expensive, supply-constrained GPUs.

Here is a breakdown of what the Arcxa stack accomplishes and how the components interact:

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1. Legacy Oracle Stack Migration

• Problem: The top tier represents the starting point—a legacy Oracle environment. These setups are notorious for high licensing fees, vendor lock-in, and fragmented data silos that make it difficult to run modern analytics.

• The Action: Data and workloads are migrated downward into a more open, cost-effective, and scalable ecosystem.

2. ARCXA Semantic Mapping (Data Governance Layer)

• Role: ARCXA acts as the semantic and integration layer. It ensures that data moving out of the legacy silos retains its business context, definitions, and relationships.

• Integrations:

  • Collibra: Manages data governance, cataloging, and data lineage.

  • Informatica: Handles complex enterprise data integration (ETL/ELT) and data quality.

  • Fivetran: Provides automated, zero-maintenance data pipelines to ingest data into the target database.

3. EDB PostgreSQL Stack (Modern Open-Source Database)

• Engine: EnterpriseDB (EDB) PostgreSQL serves as the enterprise-grade destination for the migrated Oracle data. EDB provides Oracle compatibility features (like PL/SQL support), making it significantly easier to migrate schema and code away from Oracle without a total rewrite.

• Foundation: It replaces the expensive legacy database layer with an open-source standard, backed by enterprise support and security.

4. IBM Power10/11 Matrix Math Acceleration (MMA) (The Compute Layer)

• Hardware Innovation: The entire stack is powered by IBM Power architecture (Power10 or the latest Power11).

• GPU-Free Edge AI / LLM Inferencing: IBM Power processors feature built-in Matrix Math Acceleration (MMA) directly on the core. MMA is a hardware accelerator designed specifically for numerical linear algebra, which is the mathematical foundation for deep learning, Large Language Models (LLMs), and AI inferencing.

• The Value Proposition: By leveraging MMA, the system can run AI models and LLM inferencing directly on the database server at the edge or in the data center. This eliminates the need to buy, power, cool, and manage separate NVIDIA or AMD GPUs, drastically reducing infrastructure complexity and latency by keeping the AI compute right next to the data.

ARCXA Partners with the Ecosystem

Major data initiatives, tools like Informatica, Collibra, and Fivetran are the heavy machinery—they move, govern, and transform data at scale. However, even the best heavy machinery gets stuck if the ground hasn't been surveyed.

By acting as an automated, AI-assisted "scouting party," ARCXA solves the "garbage-in" or "unknown-in" problem before these platforms even begin their core jobs.

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Here is exactly how ARCXA acts as a force multiplier for the major players in the data ecosystem:

Architectural Fit/ complimenting: Where ARCXA Sits

Instead of competing with these platforms, ARCXA acts as a pre-flight discovery and onboarding layer that sits immediately before ingestion, cataloging, or ETL processes begin.

1. Fivetran (Modern ELT & Ingestion)

Fivetran is incredibly efficient at moving data from Source A to Destination B, but it assumes you already know what you want to connect and that the source schema is relatively cooperative.

• Pain Point: Setting up custom or legacy database connectors in Fivetran often leads to surprises—unstructured data blocks, massive tables with zero documentation, or API limitations that cause syncs to fail.

• How ARCXA Assists: * Capability Pre-Screening: ARCXA automatically inspects the source system’s capabilities before Fivetran starts pulling. It flags query limits, data types that might cause replication lag, and anomalous fields.

  • Cost & Compute Optimization: By mapping out-of-the-box structural footprints first, teams can use ARCXA to pinpoint exactly which schemas are actually needed, preventing Fivetran from syncing useless "dark data" and driving up active-row monthly costs.

2. Collibra (Data Governance & Cataloging)

Collibra is the enterprise "system of record" for data governance, but a data catalog is only as good as the metadata fed into it.

• Pain Point: Populating Collibra manually is notoriously slow. Data stewards spend months interviewing engineers to write definitions and map relationships (e.g., "Does cust_num in System A mean the same thing as client_id in System B?").

• How ARCXA Assists:

  • Automated Metadata Hydration: ARCXA’s Model-Assisted Inference semantically matches disparate fields and auto-detects hidden relationships using embeddings.

  • Pre-Curated Ingestion: Instead of pushing raw, chaotic metadata into Collibra and asking stewards to clean it up, ARCXA delivers a highly accurate, pre-mapped structural footprint. Collibra receives clean, context-rich metadata from day one.

3. Informatica (Enterprise ETL & Data Management)

Informatica (specifically IICS) excels at complex, enterprise-grade data integration and legacy-to-cloud migrations (like moving from on-prem PowerCenter to the cloud).

• Pain Point: The "Discovery" phase of an Informatica migration is where fixed-price projects go to die. Hundreds of developer hours are billed just trying to map undocumented legacy columns into new cloud target schemas.

• How ARCXA Assists:

  • Eliminating Manual Mapping: ARCXA’s schema inference generates the target mappings automatically in days rather than weeks.

  • Generating "Informatica-Ready" Blueprints: By identifying anomalies, deprecated fields, and schema structures beforehand, ARCXA allows Informatica developers to build their ETL mappings based on a locked-down, highly accurate blueprint, completely bypassing the "trial-and-error" testing loops.

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Summary: How ARCXA Partners with the Ecosystem

Are you looking at this from the perspective of optimizing an upcoming legacy-to-cloud migration, or are you designing a repeatable data-onboarding playbook for your team?

Partner Platform	What They Do Best	ARCXA Upgrades Them	Business Value
Fivetran	High-speed data movement	Pre-scouts source capabilities and filters out "dark data"	Lowers monthly active row costs; prevents pipeline breaks
Collibra	Data governance & cataloging	Auto-groups and semantically matches fields using AI embeddings	Accelerates time-to-value for data catalogs from months to days
Informatica	Heavy enterprise ETL & migrations	Locked-down target schema mapping before pipeline build begins	Prevents margin bleed on fixed-price migration contracts
Arcxa’s Position	CI/CD Bridge	Translates CI/CD into the business lineage Collibra and Informatica compliance.	Reduces Cost