Google Cloud Consulting for Data, AI, and Scalable Infrastructure

We provide independent Google Cloud consulting on architecture and service selection, particularly for data-heavy and AI-driven workloads where GCP often excels.

GCP's Strengths, Applied to Your Specific Workload

Google Cloud has particular strengths in data analytics, BigQuery, and AI/ML tooling. Our consulting helps you determine whether and how to use GCP for your workload, with realistic cost and architecture guidance.

Why Choose NIMU for Google Cloud Consulting

Service Selection Guidance

Matching GCP services — Compute Engine, BigQuery, GKE — to your workload.

Data & Analytics Focus

Particular expertise in BigQuery and data pipeline architecture on GCP.

Cost Modelling

Realistic cost projections before committing to an architecture.

Security & IAM Guidance

Guidance on GCP IAM, VPC design, and compliance configuration.

Architecture Review

Independent review of proposed or existing GCP architecture.

Vendor-Neutral Advice

Honest recommendations, including when another provider fits better.

What We Deliver

A comprehensive suite of capabilities packaged into every engagement.

1

GCP Architecture Consulting

Designing or reviewing GCP architecture for cost, security, and scale.

2

Data Platform Advisory

BigQuery and data pipeline architecture guidance for analytics workloads.

3

Migration Readiness Assessment

Evaluating your workloads for GCP migration suitability.

4

Ongoing Advisory

Retainer-based advisory support for recurring GCP decisions.

Our Delivery Process

A proven, transparent process that keeps your project on time and on budget.

1

Current State Review

Understanding your existing infrastructure and data workloads.

2

Requirements Discussion

Clarifying workload, budget, and analytics or AI requirements.

3

Recommendations

Delivering clear, prioritized architecture and cost recommendations.

4

Follow-Up Support

Available to support your team as recommendations are implemented.

Frequently Asked Questions

Everything you need to know before getting started.

GCP often has an edge for data analytics and AI/ML-heavy workloads through BigQuery and Vertex AI, though the right choice always depends on your specific requirements and existing ecosystem.
Both — we can provide standalone consulting, or continue on to implement the recommended architecture.
Yes, data pipeline and BigQuery architecture is one of our specific areas of GCP consulting focus.
No, our recommendations are vendor-neutral, and we will recommend a different provider if it genuinely fits your workload better.
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