Scalable storage for all your data
Scalable storage architecture that centralizes structured and unstructured data for analysis, reporting and artificial intelligence.
Overview
Data Lakes and Data Warehouses are fundamental pillars of the modern data stack. We design and implement storage solutions that balance cost, performance and flexibility to meet different analysis and AI needs.
Services
Data Lake design & build
Data Lake construction on AWS S3, Azure Data Lake, or Google Cloud Storage with organization, cataloging, and access control.
Cloud Data Warehouse
Data Warehouse implementation on Snowflake, BigQuery, Redshift, or Synapse with optimized dimensional modeling.
Lakehouse architecture
Hybrid architecture with Delta Lake, Apache Iceberg, or Apache Hudi that unites flexibility and performance in one layer.
Data Warehouse modernization
Migration of legacy data warehouses (Teradata, Oracle, Netezza) to cloud-native solutions with data validation.
Performance tuning
Query optimization, partitioning, clustering, and caching to reduce response times and processing costs.
Cost optimization
Data tiering strategies, compression, and lifecycle management to reduce storage costs without losing accessibility.
Where we operate
Where we operate with Data Lakes & warehouses
Teradata migration
Complete migration from Teradata environments to Snowflake, BigQuery, or Redshift with data and query validation.
Data Lake for analytics
Centralized Data Lake ingesting data from hundreds of sources to feed dashboards, reports, and ML models.
Lakehouse for AI
Lakehouse architecture optimized for machine learning workloads with feature stores and unified SQL access.
Real-time warehouse
Data Warehouse with near-real-time ingestion for operational analytics and near-real-time event detection.
Multi-cloud storage
Distributed storage strategies across multiple cloud providers for resilience and cost optimization.
Archive & compliance
Data archiving solutions with lifecycle management and retention for long-term regulatory compliance.
How we work
Data Assessment
Data inventory, volume analysis, access patterns, and performance and compliance requirements.
Architecture & Modeling
Technology selection, data modeling, and storage architecture design optimized for the use case.
Implementation & Ingestion
Infrastructure construction, ingestion pipelines, and initial data loading with integrity validation.
Optimization & Tuning
Performance optimization, partitioning, indexing, and caching configuration for frequent queries.
Operation & Governance
Continuous operation with monitoring, lifecycle management, cost control, and architecture evolution.
Data Assessment
Data inventory, volume analysis, access patterns, and performance and compliance requirements.
Architecture & Modeling
Technology selection, data modeling, and storage architecture design optimized for the use case.
Implementation & Ingestion
Infrastructure construction, ingestion pipelines, and initial data loading with integrity validation.
Optimization & Tuning
Performance optimization, partitioning, indexing, and caching configuration for frequent queries.
Operation & Governance
Continuous operation with monitoring, lifecycle management, cost control, and architecture evolution.
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 Platforms
Modern data platform architecture with Data Mesh, Data Lake, Data Warehouse and real-time processing for advanced analytics and AI.
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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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