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Cloudypedia Round Table

Explore the existing round table program for enterprise decision-makers and technical teams.

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Cloudypedia 

Round Table 2025

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Where enterprise leaders, architects, and builders align on one thing: shipping real outcomes with Google Cloud—faster, safer, and at lower cost.

Cloudypedia Round Table is a light gathering for decision-makers and hands-on teams who run mission-critical platforms. Expect a high-signal program across APIs & Integration, Data & AI, and Cloud Foundations, packed with reference architectures, live demos, and customer stories. Come for strategy, leave with actionable playbooks your team can use.

📍 Courtyard by Marriott Riyadh

Northern Ring Road

🗓️ 25/11/2025

Google Maps

Why Attend

Outcome-driven content: No fluff—just proven blueprints for API platforms, unified data layers, and AI services that deliver measurable business value.

Deep technical dives: Apigee X & Hybrid, Application Integration, BigQuery, Looker, Vertex AI, Landing Zone, SRE/Observability, and FinOps.

1:1 architecture reviews: Book time with Cloudypedia experts for targeted guidance on your roadmap, cost model, and security posture.

Peer learning: Hear frank lessons learned from leaders operating at scale—what worked, what didn’t, and why.

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Meet the Experts

Connect with Cloudypedia & Google Architects, Customer Engineers, Data Engineers, and AI Specialists who have implemented complex, regulated workloads on Google Cloud. Our team will be on hand for clinic hours, solution reviews, and live troubleshooting.

Themes & Tracks

1) Enterprise Integration

Enterprise API strategy: governance, lifecycle, developer experience.

Integration Migration to Cloud; zero-downtime patterns.

BFFs, multi-tenant APIs, and secure public endpoints.

API security: OAuth/OIDC, mTLS, WAF, threat protection, PCI/PII controls.

API monetization and internal marketplaces.

2) Data & AI

Trusted analytics foundation: ingestion → transformation → semantic layer.

Governed self-service BI with Looker and reusable business measures.

Operationalizing AI: model governance, evaluation, and cost control.

Real-time pipelines and feature stores for predictive & generative AI.

3) Data Governance & Security

Governance operating model: stewardship, ownership, and data councils

Policies & controls: data classification, RLS/CLS, masking, tokenization, DLP

Metadata & catalog: lineage, quality rules, and approval workflows

Access management: least privilege, ABAC/RBAC, context-aware controls

Compliance frameworks & audits: evidence automation, RTM/controls mapping

Secure sharing & interoperability: contracts, SLAs, and data product standards

4) Cloud Foundations (Landing Zone, SRE, FinOps, Security)

Secure-by-design landing zones (IAM/KMS, network architecture, WAF).

Observability: SLOs, tracing, logging, and incident response playbooks.

FinOps in practice: commitments, rightsizing, serverless, chargeback.

Compliance-ready architectures and data residency patterns.

Register Now (Limited Seats)

ENQUIRY OPTIONS

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Google Cloud Application Development specializationGoogle Cloud Infrastructure specializationGoogle Cloud Work Transformation specializationGoogle Cloud SAP specialization
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