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Enterprises are generating more data than ever, but there is a real challenge in making it reliable and ready for action. Our data engineering services are designed to address this and help turn your data into a reliable foundation for decision-making, with governed enterprise data pipelines, real-time access, and analytics that serve both people and AI systems. Our managed services and open-source-first approach reduce infrastructure costs while improving performance and availability.
Build secure cloud-native data platforms with provider-specific blueprints and accelerators.
Automate PII tagging, policies, and quality gates with agentic workflows that improve auditability.
Unlock governed, self-service access to high-quality data with open-source cloud-native platforms.
Build secure cloud-native data platforms with provider-specific blueprints and accelerators.
Automate PII tagging, policies, and quality gates with agentic workflows that improve auditability.
Unlock governed, self-service access to high-quality data with open-source cloud-native platforms.
Architect scalable storage across warehouses, lakehouses, and distributed systems for flexible analysis.
Build resilient data pipelines that apply complex business logic to prepare data for analytics and AI.
Implement data policies, quality controls, and lineage tracking as integral parts of the architecture.
Enable low-latency insight to support operational intelligence and customer experience.
A cloud-agnostic platform combining open-source tools for scalable data ingestion, storage, processing, and governance, managed with built-in automation and security.
An enterprise-grade BI solution that helps accelerate data-driven decision making. It features customizable dashboards, semantic modeling, and secure role-based access.
A lightweight cloud service that processes data in real time at the edge, enabling faster insights and improved operational responsiveness.