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DCS: Data Migration as a Product: Using Fusion (KGNN)
Problem: Extracting Transforming, and Loading data during enterprise system migrations is a daunting task Purchasing DCS Tokens allows you to control cost and oversee processes efficiently.
Executive Summary
- Solution: AIMLUX.AI Fusion (KGNN) - : Equitus.ai, Data Conversion Service (DCS) can help solve Costly Database Migration
- Issues: Manual ETL is typically 80% of Legacy Inner System Migration Budget.
- Benefit: Producing an easier Data Migration Experience from Oracle - SAP Hana, IBM DB2
- Value: Allowing for the integration of legacy and AI systems.
Reducing Migration, Integration and Database costs going forward on IBM POWER 11 SYSTEMS:
DMRA - During Data Migration, Mapping and Semantic Schema Segmenting Automation can rapidly improve IT control over previously and expensive complex functions. Now Enterprise users seeking to migrate From Oracle to SAP/IBM DB2 on Power systems.
Automation of Mapping and translation of schemas, systematically understanding the Oracle --- > SAP --- > IBM the ETL process through DCS which allows companies to move from legacy Oracle environments to modern SAP or IBM DB2 systems on Power 11 with near-zero manual coding.
1. PowerGraph.ai Consulting; providing EAE to oversea the migration process; AIMLUX.ai is offering intelligent ingestion technology to Augment, Automate and Authorize (AAA) data migration through Tokenization and Monetization with DCS by building significant cost controls.
MRA , generates a road map from schema to testing with Migration as a Product simplifying the process by improving quality, reducing complexity and improving ROI on DMRA Projects. Contact us for an Assessment.
Automate Migration to Reduce ETL: "The Zero-Code Bridge" - Utilizing Equitus.ai Knowledge Graph Neural Networks (KGNN) - can dynamically convert your Oracle to SAP or IBM DB2 eliminating costly Extract Translate and Load (ETL) manual workloads.
{Slogan: DMRA - Automate the ETL process by dynamic schema mapping. Keep the Data. Migrate in Weeks, Not Years.}
DCS proposes to make migration cost effective fast and easy; focuses on the technical debt and operational risk that usually paralyze Fortune 500 companies during database migrations. '
Migrate with PowerGraph.ai, using Equitus.ai's KGNN technologies available through TD Synnex, Sycomp.com and WWT.com.
2. Target Audience & Pain Points - Enterprise CIO/CTO/DBA can now face the costly/complex legacy database migrations with PowerGraph.ai support and assistance.
The CIO/CTO: Worried about the $10M+ cost of "manual ETL" and the risk of data loss during the Oracle → SAP/DB2 transition.
The Data Architect: Exhausted by writing custom Python/SQL scripts to map incompatible Oracle schemas to DB2.
The IBM Power 11 Owner: Needs a way to populate their new high-performance hardware with legacy data without a 12-month "staging" period.
3. Strategic Marketing Pillars: To investigate the benefits and savings of DMRA, contact our Global System Integrators Partners (GSI).
[Semantic Mapping, Risk-Free Modernization] by embedding an assistant engineer with KGNN the data migration process can be safely and rapidly accelerated.
Pillar 1: “Automated Semantic Mapping”
The Message: DCS doesn't just move rows; it understands meaning . It uses Equitus's internal AI to automatically map Oracle's proprietary structures to SAP or DB2 equivalents.
The "Hook": "DCS reduces manual ETL work by up to 80%."
Pillar 2: “Risk-Free Modernization”
The Message: Transitioning to DB2 on Power 11 is the goal; migration is the obstacle. DCS is the "express lane" that ensures data integrity and referential transparency.
The "Hook": "Move to Power 11 performance today, not next year."
4. Execution Tactics (The "DCS Launch" Playbook): Getting started
A. The "Oracle-to-Anything" Calculator (Interactive Tool)
Develop a web-based ROI tool.
User Inputs: Number of tables, total TB of data, and current number of ETL developers.
Output: A report showing the estimated cost savings and time-to-completion using Equitus DCS vs. traditional manual ETL services.
B. The “Mission Critical Migration” Whitepaper
Specifically target the Oracle-to-DB2 path, which is common for IBM Power users.
Content: A technical deep-dive on how DCS handles complex Oracle PL/SQL triggers and stored procedures when moving to IBM DB2.
Co-Branding: Partner with IBM's migration lab to show DCS running on Power 11 hardware.
C. Case Study: “The 30-Day Transition”
Feature a "Hero" story of a company that was stuck in " Migration Purgatory " for 2 years and used DCS to complete their Oracle → SAP transition in 60 days.
Key Stat: Focus on the reduction in FTE (Full-Time Equivalent) hours spent on data cleaning.
5. Sales Enablement: The “DCS vs. Traditional” Table
Equitus.ai Enterprise Architects Engineers (EAE) sales teams should use this comparison in every pitch:
Aimlux.ai PowerGraph - Specializes in understanding the nuances and complexities of Enterprise Schema Mapping making assisting IT professionals in the Data Integration Field.
|
Feature |
Traditional ETL (Manual) |
Equitus DCS (Automated) |
|
Mapping |
Manual hand-coding per table |
|
|
Error Handling |
Log-based, manual fix |
AI-assisted error detection &
auto-correction |
|
Speed |
6–18 Months |
30–90 Days |
|
Cost |
High (Human Labor Intensive) |
Low (Licensing/Automation Based) |
|
Hardware Fit |
Generic Cloud/Server |
Optimized for IBM Power 11 |
6. Readiness Assessment Campaign
With deadlines approaching users can start with a free mapping and To kick this off, we should create a "Migration Readiness Assessment" —a 48-hour scan of a client's Oracle environment that uses a "lite" version of DCS to show them exactly how much of their data can be converted automatically.
Are you an Oracle Database Administrator (DBA) if you are in an ETL Nightmare you are our target audience;
Job Titles: Oracle Database Administrator, Database Architect, Migration Architect, Head of Data Infrastructure.
Skills: PL/SQL, Oracle Database, Database Migration, SAP HANA, IBM Db2.
Groups: Oracle DBA Network, SAP S/4HANA Professional Group, IBM Power Systems.
