ArcXA as the "Evidence Layer," address the "broader problem" of data governance and lineage.
Evidence Layer (EL), provides the connective tissue— to assist in Post Migration OR
Answering the "how" and "why" of every byte changed, for platforms like Collibra, Informatica, Atlan, and IBM InfoSphere (InfoStream) which focus on governance, discovery, and enterprise ETL.
ArcXA acts as the high-fidelity execution and semantic layer that bridges the gap between static metadata catalogs and active data movement.
ArcXA acts as the high-fidelity execution and semantic layer that bridges the gap between static metadata catalogs and active data movement.
Human in the Loop Support Packages available, with a $10,000 services credit for registering your entity and initiating a Migration Readiness Assessment (MRA)
The ArcXA Integrated Data Map
ArcXA integrates into an ecosystem featuring these major players:
1. Governance & Discovery (Collibra & Atlan)
ArcXA serves as the Active Metadata Provider for these platforms.
The Integration: ArcXA feeds its graph-native lineage and ontology-aware mappings directly into Collibra or Atlan.
The Value: Instead of Collibra just showing a table exists, ArcXA tells it exactly which policy was active during the last transformation and which semantic normalization was applied. It turns a static catalog into a living map of validated data.
2. Enterprise Integration & ETL (Informatica)
ArcXA acts as the Validation & Semantic Wrapper.
The Integration: While Informatica moves massive volumes of data, ArcXA sits on top of the workflow orchestration to provide systems-of-systems validation.
The Value: ArcXA tracks the "why" behind Informatica's movements. If Informatica moves data from a CRM to a Warehouse, ArcXA ensures the ontology terms stay consistent and the contract-aware policies are met before the data lands.
3. Legacy & Quality (IBM InfoSphere / InfoStream)
ArcXA functions as the Modern Interop Layer.
The Integration: ArcXA can ingest "capability reporting" from InfoSphere’s QualityStage or Information Analyzer.
The Value: It translates IBM’s deep technical lineage into ArcXA’s unified multi-source normalization. This allows downstream modern apps to consume legacy IBM data without needing to understand IBM's internal schemas.
Conceptual Integration Architecture
Component
Role in Ecosystem
ArcXA Synergy
Collibra / Atlan
Policy & Cataloging
ArcXA provides execution-level lineage to prove policies were actually followed.
Informatica
Heavy-lift Data Movement
ArcXA provides semantic mapping and validation to ensure movement matches the ontology.
IBM InfoSphere
Quality & Master Data
ArcXA creates unified catalogue views across legacy and modern data silos.
Downstream Apps
Consumption
ArcXA provides the confidence report (the "why" and "what changed").
ArcXA Flow: From Source to Downstream
Onboarding: ArcXA reports the connector capabilities of your Informatica or IBM sources.
Semantic Layer: It maps those sources to a unified ontology (sharing this metadata with Atlan).
Execution: As workflows run, ArcXA tracks row and graph-native lineage, recording which contract was active.
Verification: Before the data hits a downstream BI tool, ArcXA validates the system-of-systems map, ensuring no breaks in the chain.
Equitus.ai ArcXA with Atlan, Collibra, and Informatica creates a powerful, unified data governance and intelligence layer that is uniquely positioned to accelerate complex data migration projects.
Leveraging ArcXA’s core strength in semantic knowledge graphs, organizations can move from a simple "lift-and-shift" migration to a value-driven, governed modernization.
Here is a comprehensive data map illustrating how ArcXA Governance integrates across the migration lifecycle with these three leading platforms.
The Unified Data Migration Map
This map organizes the migration into four chronological phases. It shows ArcXA providing the foundational "brain" (intelligence and context) while the other platforms provide the "muscles" (execution, visibility, and process).
Action: Uses KGNN to map relationships across unstructured and structured silos.
Output: Identification of hidden critical paths and data dependencies.
Action: Ingests ArcXA relationship tags.
Output: "Clean" vs. "Rot" asset 360 view; prioritizes data by usage/relevance.
Action: Links ArcXA semantic maps to Business Glossary terms.
Output: Defines migration scope based on business value (e.g., "Critical Financial Data").
Action: Scans technical systems for physical schema.
Output: Comprehensive inventory of all databases, tables, and ETL jobs.
2. Analysis & Mapping
Action: Automatically suggests logical mappings based on semantic similarity (e.g., recognizing that Cust_ID and customer_number are the same entity).
Action: Visualizes full lineage from legacy source to potential target via open APIs.
Output: End-to-end lineage visualization for impact analysis.
Action: Defines stewardship workflows for data owner approval of transformation rules.
Action: Parses legacy SQL to generate technical data lineage.
Output: Initial code for new ETL/ELT pipelines.
3. Execution & Governance
Action:Active Governance Enforcement: Binds data access policies at the edge/graph level during movement.
Action: Propagates security tags (PII/Classification) automatically along lineage paths.
Action: Tracks policy compliance throughout the movement; manages remediation tasks.
Action: Runs data quality rules (Profiling/Cleansing) during the ETL process.
Output: Verified data ready for loading.
4. Post-Migration Validation
Action: KGNN visual comparison: Are the entities and relationships in the target system semantically identical to the source?
Action: Validates data lineage from source to new target.
Output: Business glossary is updated to reflect new asset locations.
Action: Final certification of migrated assets; audits stewardship trails for regulatory compliance.
Action: Compares row counts, checksums, and quality scores between source and target.
Output: Validation reports.
Deep Dive: How ArcXA Adds Value to Each Platform
The unique value proposition of ArcXA in this ecosystem is its ability to turn fragmented data into connected intelligence, which then supercharges the specific capabilities of Atlan, Collibra, and Informatica.
Atlan is frequently praised for its user interface and speed of onboarding. In a migration, the main bottle neck is "finding what matters."
The Problem: The "Discovery" phase is often manual, involving endless interviews with subject matter experts.
The ArcXA Integration: ArcXA automatically crawls unstructured documents (PDFs, Wikis, Emails) and structured databases to build a semantic relationship map. It then pushes these relationship tags (e.g., "This Oracle table contains sensitive GDPR-relevant employee data") into Atlan’s open metadata platform.
The Migration Benefit: Data engineers in Atlan can instantly search for "GDPR Data" and see exactly which tables need to move, who uses them, and their upstream lineage. This cuts discovery time from months to weeks.
Collibra is strong on formal governance, compliance, and large-scale stewardship workflows.In a migration, the challenge is ensuring that compliance rules are applied during the move.
The Problem: Stewardship is often passive; rules are defined in a glossary but not enforced during movement.
The ArcXA Integration: Collibra defines the business policy (e.g., "All Personal Data must be masked before leaving the secure environment"). ArcXA takes that policy and enforces it at the edge or data layer through its graph neural network. It can physically prevent the movement of data that violates the Collibra policy.
The Migration Benefit: Organizations can demonstrate to auditors that the migration was "governed by design." If data owners are required to sign off on transformation rules, Collibra manages that workflow, triggered by ArcXA's identification of semantic changes.
Informatica is a legacy powerhouse for physical data integration (ETL/ELT), technical metadata, and data quality at massive scale. In a migration, the challenge is accurately mapping complex legacy code.
The Problem: Generating new ETL code for a new cloud data warehouse requires understanding years of undocumented SQL and stored procedures.
The ArcXA Integration: Informatica is excellent at technical lineage (SQL parsing). ArcXA adds the "why" to the "how." While Informatica sees that Column A moves to Column B, ArcXA understands that Column A is a "Customer Name" and that Column B is the equivalent "Client Name" in the new cloud system. It feeds these semantic mappings into Informatica.
The Migration Benefit: Informatica’s Intelligent Data Management Cloud (IDMC) uses these ArcXA semantic suggestions to automate the generation of ETL pipelines, reducing the manual coding effort required for mapping.
" Are you searching for a method to Migrate with less time, cost and risk"?
"Integrate Governance Mapping to correct Post-Migration-Issues "
AIMLUX.ai Consulting Solutions (ACS) Proposes: Equitus.ai ArcXA on IBM Power10/11 specifically targets the high-performance modernization of financial systems, such as Bank. and Insurance.
Migrating from Oracle to DB2, follows a structured methodology to ensure technical success and financial viability.
The MRA is the diagnostic phase where ArcXA maps the existing Oracle landscape to determine the complexity of the move.
Schema Analysis: ArcXA scans the Oracle Data Dictionary to identify PL/SQL objects, triggers, and stored procedures. Because DB2 (specifically version 11.5+) has native Oracle Compatibility, approximately 90-98% of Oracle code often runs without modification.
Dependency Mapping: Using its Knowledge Graph, ArcXA visualizes the lineage of data—identifying which downstream applications or regulatory reports rely on specific Oracle tables.
Feature Gap Identification: Identifying the small percentage of "incompatible" code (e.g., specific Oracle-only hint syntax or proprietary packages) that requires manual refactoring.
2. Institutional Sizing Tool (Estimated Cores)
Because IBM Power10/11 offers significantly higher "performance-per-core" than commodity x86 servers, a "1:1" core migration is almost never necessary. The sizing tool calculates the required footprint:
Workload Consolidation Ratio: For Oracle-on-x86 to DB2-on-Power10 migrations, a typical consolidation ratio is 3:1 or 4:1. This means 12 cores of x86 can often be replaced by 3 or 4 cores of Power10.
Memory Bandwidth Factor: The tool accounts for Power10's OMI (Open Memory Interface), which provides the high bandwidth required for DB2's BLU Acceleration (in-memory columnar processing).
Output: The tool provides a Target Configuration Report, specifying the number of LPARs (Logical Partitions), core counts, and shared processor pool settings.
3. Deployment Steps: Oracle to DB2
ArcXA as the orchestration layer, the deployment follows these steps:
Extraction & Profiling: ArcXA connects to the Oracle source to profile data quality and ensure no "dirty data" is migrated.
Schema Transformation: The IBM Data Movement Tool (IDMT) or Migration Enablement Evaluation Tool (MEET) is triggered to convert DDL. ArcXA tracks this transformation in its graph to maintain lineage.
Data Load: Using IBM High-Performance Unload (HPU) and DB2 Load utilities, data is moved. For Green Dot Bank-scale operations, this often uses "change data capture" (CDC) to keep the target DB2 instance in sync during the transition.
Validation: ArcXA performs automated "bit-for-bit" validation and "semantic validation" to ensure the logic in DB2 produces identical financial results to the legacy Oracle system.
4. Financial Impact: IRR, ROI, and Cost Benefits
Moving from Oracle to DB2 on Power10 is primarily driven by Total Cost of Ownership (TCO) reduction.
