Big Data & Cloud Services

BUILD ENTERPRISE DATA PLATFORMS DESIGNED FOR ANALYTICS AND AI AT SCALE

Powering data-driven organizations

At Tsubaki Systems, our Big Data & Cloud Services enable organizations to design, modernize, and operate enterprise-grade data platforms across cloud, hybrid, and on-prem environments. We engineer secure, scalable architectures that unify data sources, support real-time and batch analytics, and provide the foundation required for advanced analytics and AI adoption.
Our approach goes beyond infrastructure deployment—ensuring data platforms are governed, operationalized, and aligned with business execution, enabling organizations to extract sustained value from their data assets.

Organizations leveraging Tsubaki’s Big Data & Cloud services achieve:

Scalable data platforms supporting enterprise analytics and AI workloads
Faster time-to-value through modern, cloud-native and hybrid architectures
Improved data security, governance, and compliance across environments
Reliable access to trusted data for analytics, operational systems, and AI models
Reduced total cost of ownership through platform modernization and optimization

Modern Data Architecture for Enterprise Execution

At Tsubaki Systems, we deliver end-to-end services across this entire architecture—covering data platform strategy, cloud and hybrid implementation, ingestion and integration, analytics processing, enterprise storage, decision intelligence, and AI enablement. Our services span from foundational data engineering and governance through business intelligence, advanced analytics, and operational AI adoption, ensuring every layer is securely designed, governed, and aligned to real business outcomes. This integrated approach enables organizations to move confidently from raw data to trusted insights, automated decisions, and scalable AI execution at enterprise scale.

How Tsubaki Delivers Big Data & Cloud Solutions

Modernize your data platform with enterprise-grade cloud and data engineering

Platform Strategy, Architecture & Assessment

We assess your current data landscape and define target architectures aligned with business priorities. This includes platform selection (cloud, hybrid, on-prem), reference architectures, and roadmap definition to support analytics, BI, and AI initiatives.

Cloud & Hybrid Platform Design

We design secure, scalable data platforms across Azure, AWS, and GCP, integrating cloud-native services with existing on-prem systems and optimizing for performance, resilience, and cost efficiency.

Data Ingestion & Integration

We implement robust ingestion pipelines using ETL/ELT, CDC, and streaming technologies to reliably move data from internal, external, and IoT sources into enterprise data platforms.

Enterprise Data Stores & Processing

We build and optimize data lakes, lakehouse/Delta architectures, data warehouses, and NoSQL stores to support efficient batch, real-time, and streaming analytics workloads.

Data Governance, Security & Compliance

We embed governance, access control, metadata management, lineage, and compliance frameworks directly into the platform—ensuring secure, trusted, and auditable data usage at enterprise scale.

Enablement, Operations & Adoption

We enable internal teams with operating models, documentation, and training to manage, scale, and evolve the platform. Ongoing support ensures stability, performance optimization, and long-term adoption.

How We Can Help You

Big Data Platform Modernization Program

We help organizations modernize legacy data environments into scalable, cloud-ready and AI-enabled platforms. Our modernization approach reduces architectural complexity while preserving critical business logic and analytical models, enabling a controlled transition to modern data architectures.

Our delivery typically includes platform and architecture assessment, target-state design, modernization roadmap definition, proof of concept, phased migration planning, and implementation with enablement and knowledge transfer.

Big Data Platform on Cloud

We design and implement enterprise Big Data platforms on leading cloud providers, tailored to your business requirements, security posture, and operating model. Our focus is on building scalable, resilient, and cost-efficient cloud-native platforms that support analytics and AI workloads.

We support cloud implementations across Azure, AWS, and Google Cloud Platform, ensuring flexibility, governance, and long-term scalability.

Big Data Platform On-Prem or Hybrid

For organizations requiring on-premise or hybrid deployments, we design and implement data platforms that integrate seamlessly with cloud analytics capabilities. This enables modernization while maintaining control over sensitive data and regulatory constraints.

Our hybrid services include architecture design, platform implementation, cloud integration, migration planning, and operational readiness.

Cloud Data Warehouse & Lakehouse Solutions

We help organizations modernize analytical workloads using cloud data warehouses and lakehouse architectures designed for performance, scalability, and cost efficiency.

Our services include architecture design, migration from legacy platforms, data modeling, performance optimization, and integration with enterprise BI and advanced analytics solutions.

Enterprise Data Governance & Security

We embed governance, security, and compliance directly into the data platform to ensure data is trusted, discoverable, and auditable at enterprise scale.

Our governance services include access control, metadata management, lineage, data quality frameworks, policy enforcement, and regulatory compliance—supporting secure data democratization across the enterprise.

LET’S TALK BIG DATA & CLOUD

Explore how modern data platforms and cloud architectures enable scalable analytics, real-time insights, and AI-ready foundations across your enterprise.