This section highlights example architecture patterns for modern data platforms, analytics systems and AI-ready infrastructures. These architectures represent common patterns used by startups and enterprises when building scalable data platforms.
A scalable data platform architecture combining cloud storage, data ingestion pipelines, transformation layers and analytics services.
Architecture pattern designed to support machine learning, AI workloads and large-scale analytics using modern cloud data infrastructure.
Lakehouse architecture pattern using Databricks for data engineering, analytics and machine learning workloads.
Modern analytics architecture using Snowflake for scalable data warehousing and data sharing across applications.
These reference architectures represent typical patterns used when designing scalable cloud data platforms. If your startup is building a data platform or scaling analytics infrastructure, Decyra can help design an architecture tailored to your business needs.
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