Cloud-Native Infrastructure

Architecture &
Technology Stack

AI-Native Data Fabric Architecture powered by SciKIQ — Connect, Curate, Control, Consume methodology with 167+ pre-built connectors.

SciKIQ 4C Framework

Data Fabric Pipeline — Connect, Curate, Control, Consume

Sources
Data Sources
GCash Core, BancNet, InstaPay, PESONet, Event Streams, SAP/ERP APIs
1. Connect
Data Integration Hub
167+ connectors, Batch + Streaming, Auto-ingestion, Schema mapping
2. Curate
Data Prep Studio
GenAI enrichment, MDM, Dedup, Logical modeling, Orchestrator
3. Control
Governance Suite
Metadata catalog, Multi-hop lineage, RBAC, Policy enforcement
4. Consume
AI & Analytics
NLQ GenAI Studio, ML Studio, BI connectors, Data Products, APIs

Six Integrated Layers

AI-Native, Zero-Code, Cloud-Agnostic Architecture

Layer 1
Data Ingestion & Integration
167+ pre-built connectors for SAP, Oracle, cloud & legacy systems. Auto-ingestion with batch + streaming. AI-powered schema mapping.
Layer 2
Automated Governance & Semantics
RBAC, automated dQ checks, sensitivity tagging, raw-to-report lineage, semantic modeling for business KPIs.
Layer 3
Data Processing & Curation
Standardization, MDM, deduplication, GenAI-driven enrichment, real-time or scheduled processing.
Layer 4
Data Product Factory
Convert curated datasets into reusable, governed data products. Auto-generate APIs, dashboards & access rules.
Layer 5
Data Marketplace
Internal/external data product discovery. API-enabled access with usage controls. Monetization for partnerships.
Layer 6
Consumption & AI Layer
GenAI Studio (NLQ), ML Studio, AI Agents for autonomous workflows, BI connectors (Power BI, Tableau, Looker).

Azure Cloud Architecture

UDP hosted on Azure Landing Zone with 3 subscriptions — Dev, Test & Prod

Environments

Dev
Test
Pre-Prod
Prod
On-premise connectivity maintained for hybrid data integration

6 Pillars of Requirement

Management & Governance
Networking & Security
Identity & Access
Logging & Monitoring
IaaS & PaaS Services
Applications & Workloads

Business Unit Architecture

Centralized storage with dedicated compute for each business unit

Singtel Data Repository — Centralized Storage
Business Unit 1
Dedicated Compute
Business Unit 2
Dedicated Compute
Business Unit 3
Dedicated Compute

Azure Service Inventory

SciKIQ Data Fabric SciKIQ NLQ Studio SciKIQ Governance Storage Account Key Vault MS-SQL DB Postgres Redis Cosmos DB Airflow EventHub Azure Monitor Log Analytics Azure VM VNET/Subnet Azure Firewall Active Directory

Packaged Data Workspace

Bundled business capabilities that enable seamless onboarding of new business units

Storage
Compute
ETL / ELT
Security
Monitoring
Access Control

Infrastructure as Code

Unified IaC — CAFs Terraform for SciKIQ Data Fabric

Too many cross-domain dependencies!
Too many Azure Services needed!
Too many automation tooling choices!

Design Principles

1
Package Business Capabilities — Data-workspaces to enable with all capabilities, ability to onboard NEW BU seamlessly
2
Metadata & Config Driven — Everything as Code or Config
3
Framework — Ensure consistency, reusability, maintainability, readability
4
Dependency Injection — Seamless integrations for cloud infra layers and teams
5
Testing Driven — All cloud provisioning supported by LOCAL testing & automated tests
6
Cloud Agnostic — Capability to scale to AWS as well, not limited to Azure

Key Patterns Applied

Level Dependency Injection & Key Association Patterns address team dependencies

Iterate on Everything pattern — collection of deployments worked well

Azure CAFs Framework provides a foundation to build upon

Declarative & maintainable — everything as configuration or code

Terraform (CAFs) chosen as the preferred cloud-agnostic IaC tool

AI
AI Analyst

Welcome to the SCIKIQ AI Analyst. I can help you with:

  • Revenue assurance & CDR reconciliation
  • Fraud detection & SIM box prevention
  • Churn prediction & customer insights
  • Network analytics & QoS optimization
  • Executive-level briefings

Ask me anything about your telecom data platform.