Google Cloud Platform · GCP
If Your Workload IsData, AI, or ML at Scale,
GCP Has No Equal. Google Cloud is where the world's most demanding AI and data workloads run — because Google's internal infrastructure for Search, YouTube, and Maps is the same infrastructure GCP customers access. Symhas architects and migrates enterprise data platforms, AI pipelines, and analytics workloads to GCP — integrating them with Oracle ERP and cloud infrastructure on OCI or AWS.
Cloud Infrastructure Platforms
Oracle Cloud (OCI)Best for Oracle ERP & database workloads
Amazon Web ServicesBroadest services · Global regions
Microsoft AzureBest for Microsoft workloads & hybrid
Google Cloud (GCP)Best for AI/ML & data analytics
FinOps & Cost GovernanceMulti-cloud cost optimisation
When GCP Is the Right Choice
The AI and Data Platform
Google Built for Itself — Available to You. Google Cloud is the right choice when data processing scale, AI model training, or analytics throughput are the primary workload requirements. BigQuery processes petabyte-scale queries in seconds. Vertex AI provides a fully managed ML platform. Gemini is the foundation model with the largest context window available on any cloud platform. For enterprises running Oracle ERP, GCP plays a specific role — it is the analytics and AI layer that sits alongside Oracle Fusion, pulling operational data from OCI or AWS and running it through BigQuery and Vertex AI to produce insights that Oracle's native analytics tools cannot match at the data volumes and model complexity required.
Google Built for Itself — Available to You. Google Cloud is the right choice when data processing scale, AI model training, or analytics throughput are the primary workload requirements. BigQuery processes petabyte-scale queries in seconds. Vertex AI provides a fully managed ML platform. Gemini is the foundation model with the largest context window available on any cloud platform. For enterprises running Oracle ERP, GCP plays a specific role — it is the analytics and AI layer that sits alongside Oracle Fusion, pulling operational data from OCI or AWS and running it through BigQuery and Vertex AI to produce insights that Oracle's native analytics tools cannot match at the data volumes and model complexity required.
BigQuery — the fastest data warehouse at any scaleBigQuery processes petabyte-scale SQL queries with no infrastructure management — serverless, columnar, with native ML integration. For organisations running high-volume transactional data from Oracle ERP, BigQuery is the analytics destination that makes real-time reporting on years of history possible.
Vertex AI — production ML without the infrastructureVertex AI provides a fully managed pipeline for training, deploying, and monitoring ML models — including Gemini fine-tuning, AutoML, and custom model training on Google's TPU infrastructure. For enterprises building demand forecasting, fraud detection, or predictive maintenance models, Vertex AI removes the infrastructure complexity that keeps AI in pilot.
Google's global network — lowest latency between regionsGCP runs on Google's private global fibre network — the same network that carries YouTube traffic. Inter-region latency on GCP is consistently lower than AWS or Azure for equivalent region pairs, which matters for distributed data architectures requiring real-time synchronisation.
Oracle ERP to GCP analytics integrationSymhas builds data pipelines from Oracle Fusion Finance, SCM, and HCM directly into BigQuery — using Oracle GoldenGate CDC for real-time replication, Dataflow for transformation, and Vertex AI for ML model training on Oracle operational data. GCP becomes the intelligence layer on top of Oracle's operational layer.
GCP Services Symhas Commonly Architects
BigQueryServerless petabyte-scale data warehouse
Vertex AI & GeminiManaged ML platform and foundation models
Dataflow & Pub/SubStreaming data pipelines and event messaging
GKE — Google Kubernetes EngineContainer orchestration on Google's network
Looker & Looker StudioBI and embedded analytics on BigQuery
Oracle to GCP Data PipelineGoldenGate CDC → Dataflow → BigQuery
What Symhas Delivers on GCP
Six GCP Services.Data, AI, Analytics, and Oracle Integration. Every Symhas GCP engagement is designed around a specific business outcome — not a technology deployment. GCP is the right platform for the analytics and AI layer. We make sure it delivers that outcome.
GCP Data Platform ArchitectureGCP data lakehouse design — Cloud Storage for raw data, BigQuery for analytical queries, and Dataflow for ETL/ELT pipelines. Designed to replace on-premise Hadoop clusters or fragmented data warehouse estates with a serverless, auto-scaling alternative.
Vertex AI & ML PlatformEnd-to-end ML pipeline on Vertex AI — data preparation, feature engineering, model training, evaluation, deployment, and monitoring. For demand forecasting, fraud detection, predictive maintenance, and NLP applications trained on Oracle operational data.
Oracle ERP to GCP IntegrationReal-time data pipeline from Oracle Fusion Finance, SCM, and HCM to BigQuery — using Oracle GoldenGate for CDC, Pub/Sub for event streaming, and Dataflow for transformation. Finance actuals in BigQuery within 60 seconds of Oracle GL posting.
Gemini & Generative AI ImplementationEnterprise Gemini deployment — fine-tuning on internal documents, RAG pipeline design over enterprise data, and Gemini API integration into Oracle Fusion and custom applications. For CFO report generation, customer service automation, and procurement analysis.
Looker Analytics & BILooker semantic layer and dashboards on BigQuery — replacing fragmented BI tools with a single source of truth. Embedded Looker in Oracle Fusion for in-context analytics, or standalone Looker Studio for executive reporting.
GCP Security & GovernanceGCP Security Command Center, VPC Service Controls, Cloud Armor, and Chronicle SIEM — implemented as a unified security posture with data residency controls for regulated industries. SOC 2 compliant from go-live.
Verified Client Outcome
Global Retail Conglomerate.
Oracle SCM + GCP AI. 33% Forecast Accuracy. 12 Weeks. "We connected Oracle SCM to a Vertex AI demand forecasting model on GCP. The model was trained on three years of sales history and went into production in 12 weeks. Forecast accuracy improved 33% in the first quarter. The inventory overstock that had been eroding our margins for two years was eliminated within six months." Chief Supply Chain Officer · Global Retail Conglomerate · 500+ locations Download Full Case Study PDF →
Oracle SCM + GCP AI. 33% Forecast Accuracy. 12 Weeks. "We connected Oracle SCM to a Vertex AI demand forecasting model on GCP. The model was trained on three years of sales history and went into production in 12 weeks. Forecast accuracy improved 33% in the first quarter. The inventory overstock that had been eroding our margins for two years was eliminated within six months." Chief Supply Chain Officer · Global Retail Conglomerate · 500+ locations Download Full Case Study PDF →
↑33%Forecast accuracy
↓21%Inventory holding costs
500+Locations connected
12wkTo production AI
AI That Ships, Not AI That Pilots
Your AI Project Has Beenin Pilot Long Enough. Symhas has delivered AI models on GCP that are in production — not in a Jupyter notebook on a data scientist's laptop. Talk to the architect who would build yours.