Cloud Data Services and Cloud Migration Solutions
Switch to an efficient, scalable, centralized cloud data infrastructure to eliminate fragmentation, reduce costs, and nurture team collaboration.
Contact UsBenefits of Cloud Data Services
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Cost Efficiency
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Scalability
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Global Accessibility
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Enhanced Collaboration
Problem
Complex Data Integration
Merging data from multiple tools and sources is slow, inconsistent, and prone to errors — especially when done manually.
Solution
Streamlined Cloud Integration
Problem
Lack of Scalability
Balancing resources for fluctuating workloads is hard. Over-provisioning wastes money. Under-provisioning impacts performance.
Solution
Elastic Infrastructure at Scale
Problem
Data Silos and Fragmentation
When each team stores data in different systems or formats, collaboration suffers and insights are lost.
Solution
Centralized Data Architecture
What is Cloud Data Consulting?
Cloud data consulting helps businesses modernize and centralize their data infrastructure using cloud platforms like AWS, Azure, and GCP.
Instead of maintaining scattered, legacy systems, cloud data service providers help you build scalable, cost-efficient, and collaborative environments — with clear architecture, secure storage, and real-time access.
At Valiotti Analytics, we guide you through the full cloud migration process — from strategy and architecture to execution and optimization. Whether you need to integrate dozens of tools or unify data for better business intelligence, we make sure our cloud migration services and solutions fit your goals, not the other way around.
Cloud migration doesn’t have to be painful. We design smart, scalable data systems that keep your operations lean and your teams connected.
We are certified partners of
Roadmap
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1
Planning
After an interview with your team, we determine your specific needs and goals.
We assess your existing data assets and their specific requirements for storage, security, and compliance.
We select cloud service providers that best align with your organization's needs, considering pricing, services, and compliance features. -
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Data Migration and Integration
We identify all your data sources and prepare the data for migration by transforming it into a format suitable for cloud storage and analysis.
We establish data integration pipelines to connect data sources with the chosen cloud data services. Then, we design a scalable and efficient data architecture in the cloud.
To protect data in the cloud, we implement robust security measures, including encryption, access controls, and identity management. -
3
Optimization and Continuous Improvement
We monitor the performance of your cloud data solutions, identifying bottlenecks and areas for improvement.
We monitor cloud resource usage and costs to ensure cost-effectiveness and consider cost optimization strategies.
After optimization is complete, we share the knowledge and best practices related to cloud data services with your organization’s members.
Our stack
Our Dream Team
Nick Valiotti
СЕО
Regina
Analytics Team Lead
Egor
Lead Data Engineer
Maksim
Senior Data Engineer
Denis
Senior Data Analyst
Elvina
Project Manager
Olesya
Lead Data Analyst
30+ seasoned specialists
- Data Engineers
- Data Analysts
- Marketing
- Management
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“Valiotti Analytics managed to bring clarity in a very complex and chaotic environment, with a patient, yet ambitious pace.”
FAQ
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Cloud data consulting firms help businesses plan and implement cloud migration strategies. This includes selecting the right platform, designing scalable infrastructure, ensuring secure data transfers, automating data integration, and optimizing for cost and performance — all while aligning with your business objectives.
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Cloud data services encompass all data-related capabilities delivered through cloud platforms: data storage (data lakes, warehouses), data integration (ETL/ELT pipelines), analytics (BI tools, ML platforms), and data governance. The main providers are AWS, Google Cloud, and Microsoft Azure, each with comprehensive data service ecosystems.
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AWS offers the broadest service portfolio and largest market share. Google Cloud excels at analytics and AI/ML with BigQuery and Vertex AI. Azure integrates best with Microsoft tools and enterprise environments. Most organizations choose based on existing cloud investments. We’re cloud-agnostic and help you select based on your specific requirements.
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Cloud data costs depend on storage volume, compute usage, and data transfer. A typical mid-size company spends $1,000-$10,000/month on cloud data infrastructure. Key cost drivers: warehouse compute (40-60%), storage (10-20%), and data ingestion tools (20-30%). We design architectures that optimize costs from day one and implement monitoring to prevent surprise bills.
Our Blog
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10 Tips for a Strong Data Infrastructure
At the start of your data infrastructure strategy, you probably are setting out with nothing more than “getting insights from my data.” But mapping…
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6 Game-Changing Data Analytics Trends That Will Drive Business Growth in 2026
The year ahead is a big one. More companies are recognizing that data is not just a byproduct of their operations but a strategic…
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Modern Analytics Stack: A Way to Unleash Business Insights with Innovation
The era of traditional analytics solutions is over. In a world where data is king, organizations need to extract meaningful insights from it quickly…
Read more