Cloud-Native Architecture
We design modern data warehouses built on flexible cloud platforms such as Azure Synapse, Snowflake, BigQuery, and Redshift. These environments scale seamlessly with your business and optimize compute and storage independently, ensuring cost efficiency without compromising performance.
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Integrated ETL/ELT Pipelines
Using robust data orchestration tools like Azure Data Factory and Synapse Pipelines, we build real-time and batch data pipelines tailored to diverse data sources. Our designs support streaming ingestion, change data capture (CDC), and schema evolution—giving you full control of data flow and freshness.
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Logical & Physical Data Modeling
From dimensional modeling for BI to semantic layers for self-service analytics, we implement strong data modeling practices that enable clarity, accuracy, and reusability. Whether it’s star schema for dashboards or data vault for auditability, we ensure your models reflect both business context and performance needs.
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Lakehouse & Hybrid Design Patterns
We build hybrid architectures combining the best of traditional data warehousing with the flexibility of data lakes. Our implementations support open table formats, cross-system federation, and a unified metadata layer—ideal for analytics, AI, and ML workloads across structured and unstructured data.
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Performance Optimization
We fine-tune performance through data partitioning, indexing strategies, materialized views, and workload management. Our services include ongoing monitoring, automated scaling, and query optimization to deliver consistently high performance under growing data volumes.
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