Modern platforms for enterprise data
Modern data platform architecture with Data Mesh, Data Lake, Data Warehouse and real-time processing for advanced analytics and AI.
Overview
Modern data platforms are the foundation for analytics and AI at scale. We design and implement architectures that centralize, organize and make enterprise data available, balancing flexibility, governance and performance.
Services
Modern data platform
Design and implementation of modern data platforms on AWS, Azure, or GCP with scalable architecture and integrated governance.
Data Mesh implementation
Data Mesh architecture implementation with autonomous domains, data contracts, and federated catalog.
Lakehouse architecture
Architectures combining Data Lake flexibility with Data Warehouse performance and governance in a unified platform.
Real-time data platform
Real-time data platforms with streaming, event processing, and low-latency dashboards.
Self-service data platform
Platforms that empower business teams to access, explore, and analyze data autonomously and securely.
Data platform migration
Migration of legacy data platforms to modern cloud architectures with minimal disruption and complete validation.
Where we operate
Where we operate with Data Platforms
Enterprise data platform
Centralized platform for large organizations with multiple business units, unified governance, and self-service analytics.
Data Mesh at scale
Fast-growing organizations that need data autonomy by domain without losing central governance.
Data Warehouse migration
Migration of on-premise data warehouses (Teradata, Oracle, Netezza) to modern cloud-native platforms.
Real-time analytics
Data platforms with streaming for real-time operational analytics and critical event detection.
AI/ML platform
Data infrastructure optimized to feed machine learning models with feature stores and dedicated pipelines.
Compliance data
Platforms with native governance that ensure traceability, classification, and access control for regulatory compliance.
How we work
Assessment & Strategy
Evaluation of the current data ecosystem, business needs, and platform strategy definition.
Architecture & Design
Target architecture design with documented decisions, integration patterns, and governance plan.
Incremental Implementation
Platform construction in phases with value deliveries in each sprint and user validation.
Migration & Onboarding
Migration of existing data and workloads, team onboarding, and self-service enablement.
Operation & Evolution
Continuous operation with performance optimization, cost management, and platform expansion to new domains.
Assessment & Strategy
Evaluation of the current data ecosystem, business needs, and platform strategy definition.
Architecture & Design
Target architecture design with documented decisions, integration patterns, and governance plan.
Incremental Implementation
Platform construction in phases with value deliveries in each sprint and user validation.
Migration & Onboarding
Migration of existing data and workloads, team onboarding, and self-service enablement.
Operation & Evolution
Continuous operation with performance optimization, cost management, and platform expansion to new domains.
Other solutions
Data Analytics
Exploratory and advanced analysis that uncovers patterns, trends and insights to drive strategic and operational decisions.
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Data Engineering
Robust data pipelines for ingestion, transformation and availability of reliable data at scale with monitoring and governance.
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Data Lakes & warehouses
Scalable storage architecture that centralizes structured and unstructured data for analysis, reporting and artificial intelligence.
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Business Intelligence
Interactive dashboards and automated reports that provide clear and updated operational and strategic visibility for decision-making.
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Data Governance
Policies, processes and tools to ensure quality, security, privacy and compliance of corporate data according to LGPD and other regulations.
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